This table lists the benchmark results for the low-res two-view scenario. This benchmark evaluates the Middlebury stereo metrics (for all metrics, smaller is better):

The mask determines whether the metric is evaluated for all pixels with ground truth, or only for pixels which are visible in both images (non-occluded).
The coverage selector allows to limit the table to results for all pixels (dense), or a given minimum fraction of pixels.

Methods with suffix _ROB may participate in the Robust Vision Challenge.

Click one or more dataset result cells or column headers to show visualizations. Most visualizations are only available for training datasets. The visualizations may not work with mobile browsers.




Method Infoalldeliv. area 1ldeliv. area 1sdeliv. area 2ldeliv. area 2sdeliv. area 3ldeliv. area 3select. 1lelect. 1select. 2lelect. 2select. 3lelect. 3sfacade 1sforest 1sforest 2splayg. 1lplayg. 1splayg. 2lplayg. 2splayg. 3lplayg. 3sterra. 1sterra. 2sterra. 1lterra. 1sterra. 2lterra. 2s
sorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
Pointernettwo views0.40
1
0.13
2
0.40
6
0.12
13
0.02
2
0.14
9
0.19
46
0.05
2
0.04
3
0.00
1
0.14
19
0.20
2
0.06
4
0.11
17
1.74
2
1.09
1
0.61
6
0.15
2
0.31
1
0.09
1
0.34
1
2.00
7
0.01
4
0.06
2
0.05
1
0.00
1
2.50
16
0.20
16
CroCo-Stereo Lap2two views0.50
2
0.29
5
0.07
1
0.06
4
0.10
12
0.02
2
0.02
7
0.28
9
0.13
13
0.93
21
0.00
1
0.46
13
0.10
9
0.01
2
1.91
4
2.38
16
0.31
1
0.36
5
0.81
6
0.11
4
1.42
12
2.40
11
0.01
4
0.10
4
0.42
8
0.12
8
0.57
1
0.04
7
RSMtwo views0.51
3
0.26
4
0.46
13
0.11
11
0.05
4
0.12
6
0.01
2
0.05
2
0.10
8
0.00
1
0.00
1
0.19
1
0.10
9
0.00
1
1.67
1
1.58
2
0.58
4
0.44
9
0.44
4
0.75
18
0.98
7
3.35
20
0.12
10
0.13
7
0.49
11
0.23
14
1.53
10
0.03
5
CroCo-Stereocopylefttwo views0.52
4
0.32
7
0.07
1
0.08
5
0.13
14
0.04
3
0.01
2
0.23
8
0.15
15
0.11
10
0.00
1
0.48
14
0.09
8
0.01
2
2.50
10
2.46
17
0.53
2
0.39
7
1.03
8
0.10
2
1.69
15
2.25
9
0.01
4
0.14
9
0.39
6
0.22
11
0.70
4
0.04
7
P.Weinzaepfel, T. Lucas, V. Leroy, Y. Cabon, V. Arora, R. Bregier, G. Csurka, L. Antsfeld, B. Chidlovskii, J. Revaud: CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow. ICCV 2023
StereoVisiontwo views0.57
5
0.58
14
0.24
4
0.08
5
0.08
9
0.14
9
0.05
13
0.29
10
0.27
23
0.50
15
0.00
1
0.29
10
0.05
2
0.04
13
2.28
5
1.93
6
0.86
10
0.21
4
0.75
5
0.13
5
0.87
6
1.45
5
0.00
1
0.13
7
0.40
7
0.23
14
3.41
24
0.15
12
ProNettwo views0.57
5
0.19
3
0.45
11
0.03
2
0.00
1
0.22
19
0.91
104
0.30
11
0.03
1
0.01
8
1.23
43
0.20
2
0.01
1
0.36
38
2.90
16
2.03
8
0.88
12
0.19
3
0.39
2
0.25
7
0.69
2
1.90
6
0.79
41
0.50
25
0.45
10
0.01
2
0.60
3
0.00
1
AIO-Stereopermissivetwo views0.58
7
0.45
10
0.45
11
0.04
3
0.05
4
0.14
9
0.00
1
0.03
1
0.11
11
0.00
1
0.00
1
0.20
2
0.08
6
0.02
7
2.29
6
1.98
7
0.78
9
0.39
7
1.85
17
1.02
27
0.72
3
2.84
15
0.17
11
0.05
1
0.42
8
0.06
5
1.64
11
0.03
5
RSM++two views0.63
8
0.30
6
0.49
14
0.19
17
0.05
4
0.23
20
0.01
2
0.07
6
0.10
8
0.01
8
0.00
1
0.21
6
0.14
13
0.01
2
2.47
8
1.71
3
0.55
3
0.45
10
1.05
9
0.86
23
1.18
10
3.51
22
0.50
27
0.16
11
1.22
24
0.22
11
1.34
8
0.04
7
RAFTtwo views0.64
9
0.12
1
0.41
7
0.09
8
0.02
2
0.21
17
0.15
34
2.71
29
0.06
4
1.08
22
0.00
1
0.24
8
0.05
2
0.10
16
2.66
13
1.83
5
0.58
4
0.08
1
1.37
12
0.32
10
0.82
4
0.73
2
0.00
1
0.22
14
0.31
3
0.06
5
3.04
22
0.01
2
MoCha-V2two views0.67
10
0.56
11
0.50
15
0.02
1
0.08
9
0.13
7
0.01
2
0.05
2
0.03
1
0.00
1
0.00
1
0.23
7
0.25
18
0.01
2
2.66
13
2.68
21
0.61
6
0.37
6
0.39
2
1.47
36
3.12
28
3.53
24
0.00
1
0.06
2
0.50
12
0.21
10
0.59
2
0.02
3
Utwo views0.71
11
0.40
8
0.08
3
0.08
5
0.11
13
0.01
1
0.01
2
0.55
15
0.16
18
0.86
20
0.00
1
0.70
17
0.13
12
0.02
7
2.38
7
2.71
22
0.98
14
0.64
13
1.51
14
0.26
8
1.92
17
2.63
12
0.01
4
0.20
12
1.36
27
0.18
9
1.02
5
0.19
15
IGEV-Stereo++two views0.75
12
0.61
15
0.26
5
0.10
9
0.06
8
0.16
13
0.02
7
0.06
5
0.08
6
0.00
1
0.57
29
0.20
2
0.08
6
0.02
7
2.47
8
2.19
11
0.66
8
0.68
14
2.36
23
0.90
25
1.35
11
3.79
29
0.28
14
0.12
6
0.20
2
0.04
3
2.89
19
0.05
10
RAStereotwo views0.98
13
0.56
11
0.42
8
0.10
9
0.19
16
0.25
24
0.03
10
0.38
12
0.15
15
4.04
56
0.00
1
0.79
18
0.11
11
0.02
7
2.73
15
2.52
18
1.23
15
0.92
20
2.89
28
0.15
6
2.59
24
3.25
18
0.07
8
0.21
13
1.02
19
0.22
11
1.19
6
0.53
20
Occ-Gtwo views1.00
14
1.54
24
0.63
19
0.23
18
0.24
19
0.27
28
0.08
20
0.40
13
0.07
5
0.00
1
0.58
30
0.28
9
0.07
5
0.01
2
4.44
28
3.05
26
0.86
10
0.85
16
1.85
17
0.75
18
2.18
20
4.18
31
0.35
18
0.14
9
0.31
3
0.11
7
3.39
23
0.16
13
AEACVtwo views1.08
15
2.36
37
0.81
28
0.16
14
0.16
15
0.15
12
0.08
20
0.11
7
0.09
7
0.00
1
0.00
1
0.57
16
0.28
19
0.11
17
3.79
24
3.65
37
1.79
22
0.89
19
2.80
27
1.43
35
2.40
23
4.40
34
0.35
18
0.30
17
0.31
3
0.26
20
1.85
13
0.02
3
delettwo views1.13
16
1.39
20
0.97
38
0.34
23
1.00
63
1.13
68
0.41
73
0.98
16
0.21
20
1.21
23
0.44
27
0.86
19
0.44
31
0.80
86
3.65
21
2.11
9
1.55
18
0.86
18
0.87
7
0.55
12
1.77
16
1.44
4
0.57
29
0.88
45
1.13
21
0.23
14
3.76
27
1.07
27
AASNettwo views1.37
17
2.02
28
1.00
41
0.44
29
1.98
104
1.30
74
0.49
77
2.04
23
0.15
15
0.50
15
1.09
40
0.56
15
0.21
16
0.65
66
4.03
25
2.34
15
1.50
16
1.80
41
1.67
16
1.12
30
2.10
19
2.66
13
0.86
49
0.99
49
1.25
25
0.63
29
2.94
20
0.63
21
iRaftStereo_RVCtwo views1.40
18
1.41
21
0.89
35
0.43
27
0.33
29
0.29
31
0.03
10
3.60
35
0.21
20
0.41
13
1.65
58
1.69
24
0.31
22
0.24
27
2.63
12
2.33
14
1.93
26
0.78
15
2.22
21
0.65
14
3.29
30
5.39
49
0.48
26
0.72
35
0.94
18
0.24
17
3.75
26
0.84
22
TDLMtwo views1.48
19
1.86
25
1.68
70
0.63
41
1.31
86
0.91
61
1.05
108
2.32
27
0.68
56
0.38
12
6.18
120
2.45
37
0.84
51
0.88
97
1.83
3
2.14
10
1.89
23
1.30
25
1.09
10
1.05
28
1.05
8
2.29
10
0.81
42
0.48
23
0.50
12
0.25
19
1.97
14
2.12
40
anonymousdsptwo views1.49
20
0.56
11
0.77
23
0.35
24
0.26
21
0.19
16
0.02
7
2.11
25
0.13
13
0.30
11
2.38
66
1.28
23
0.30
21
0.41
44
4.67
29
3.17
28
1.64
20
1.32
26
2.27
22
1.49
37
3.91
36
5.12
41
0.76
37
0.55
29
0.92
17
0.04
3
5.25
40
0.16
13
AANet_RVCtwo views1.52
21
0.70
16
0.67
21
0.26
20
1.74
97
0.11
5
0.69
91
1.92
22
1.46
96
0.83
18
0.25
26
0.43
12
0.96
56
0.21
23
7.30
79
2.86
24
1.51
17
1.32
26
1.39
13
1.27
33
0.83
5
1.15
3
0.25
12
0.59
32
1.73
39
1.40
36
3.95
30
5.16
72
RYNettwo views1.59
22
0.41
9
0.43
9
0.18
16
0.28
23
0.50
44
0.07
18
1.74
19
1.33
88
0.44
14
0.14
19
0.38
11
0.21
16
0.03
11
5.46
42
1.79
4
0.88
12
3.68
90
1.29
11
0.10
2
1.17
9
0.58
1
0.44
25
0.31
20
1.53
32
15.53
167
2.98
21
0.96
24
RAFT + AFFtwo views1.62
23
0.95
19
0.71
22
0.45
31
0.05
4
0.56
45
0.17
42
3.65
36
0.12
12
2.78
40
0.00
1
3.77
51
0.41
29
0.25
28
5.51
46
2.21
13
3.18
34
0.50
11
5.51
43
0.29
9
4.42
50
3.51
22
0.29
15
0.53
28
2.10
42
0.32
21
1.50
9
0.12
11
MaDis-Stereotwo views1.63
24
0.82
18
0.50
15
0.17
15
0.40
33
0.10
4
0.09
23
0.44
14
0.45
35
2.08
32
0.00
1
1.14
20
0.17
14
0.03
11
3.49
19
3.67
38
2.57
31
1.86
42
5.78
49
0.84
22
2.77
26
3.77
28
0.41
21
0.44
22
2.82
57
2.23
54
2.33
15
4.64
69
MMNettwo views1.65
25
1.44
22
0.88
34
0.44
29
1.32
87
0.45
42
0.51
79
2.06
24
0.62
45
0.61
17
1.84
60
1.95
28
0.33
23
1.26
122
4.19
26
2.57
19
2.63
32
2.03
45
3.03
30
1.64
41
2.05
18
2.24
8
0.83
44
1.59
83
1.20
23
0.96
33
4.81
34
1.03
26
UniTT-Stereotwo views1.78
26
0.80
17
0.63
19
0.11
11
0.33
29
0.21
17
0.04
12
2.26
26
0.35
30
4.41
62
0.01
14
2.60
39
0.39
26
0.07
14
5.04
33
4.05
45
2.47
29
1.77
40
6.38
60
0.79
21
4.23
45
3.53
24
0.53
28
0.57
30
1.46
29
1.68
41
1.30
7
1.99
37
test_5two views1.95
27
3.49
64
0.53
17
0.23
18
0.08
9
0.23
20
0.05
13
5.33
52
0.32
29
1.87
29
4.74
94
3.84
52
2.12
108
0.22
24
5.47
45
3.61
36
1.65
21
1.44
29
2.77
26
0.59
13
1.59
14
4.86
38
0.11
9
0.89
47
0.82
16
0.24
17
5.22
39
0.43
19
IGEV-Stereo+two views2.01
28
3.00
49
0.43
9
0.90
63
0.29
25
0.34
38
0.09
23
1.04
17
0.28
24
7.82
103
2.22
65
2.34
35
0.47
33
0.11
17
3.63
20
3.69
39
2.56
30
2.19
48
4.98
38
1.26
32
4.02
39
8.07
113
1.20
89
0.10
4
0.73
14
0.37
24
1.76
12
0.38
18
DMCAtwo views2.02
29
2.22
32
2.01
75
0.50
35
0.93
60
1.27
73
0.19
46
1.78
20
1.50
98
1.85
28
2.97
71
3.06
45
0.35
24
0.78
84
5.18
35
3.53
35
2.90
33
2.60
60
2.19
20
1.25
31
3.12
28
3.48
21
1.07
71
1.34
66
1.04
20
1.42
37
3.89
28
2.11
39
RAFT_CTSACEtwo views2.04
30
4.00
74
0.80
26
0.63
41
0.32
28
0.29
31
0.07
18
5.38
54
0.17
19
8.08
109
0.24
25
3.59
50
1.27
69
0.26
29
3.70
23
2.63
20
1.58
19
0.62
12
2.45
24
0.34
11
2.72
25
6.97
87
0.83
44
0.57
30
1.17
22
0.35
23
5.70
51
0.28
17
MIF-Stereo (partial)two views2.06
31
4.53
102
0.78
24
0.40
25
0.71
52
0.29
31
0.16
39
1.54
18
0.55
39
1.29
24
0.03
17
1.18
21
0.56
37
0.14
20
5.04
33
4.75
65
3.91
46
2.49
58
3.02
29
0.88
24
4.06
41
4.54
36
0.57
29
0.72
35
2.50
47
1.85
44
5.16
37
3.97
57
AFF-stereotwo views2.31
32
2.33
35
1.76
72
0.50
35
0.38
31
1.63
83
0.45
76
5.05
50
0.67
55
2.93
43
0.58
30
2.86
42
0.55
35
0.19
22
5.46
42
3.38
32
1.91
24
1.64
35
6.42
62
0.67
16
4.13
44
4.51
35
0.73
35
0.88
45
3.57
61
2.74
61
4.99
35
1.33
29
plaintwo views2.32
33
4.62
105
0.84
32
0.52
37
1.18
78
0.31
35
0.12
25
3.40
30
0.39
33
4.02
55
0.02
16
1.97
29
0.46
32
0.08
15
5.29
37
4.65
62
3.85
43
2.89
69
5.91
51
0.65
14
4.12
43
5.21
44
0.26
13
0.68
33
2.46
46
1.67
38
2.71
18
4.44
61
CVANet_RVCtwo views2.32
33
3.35
61
2.89
94
3.19
120
1.68
96
2.83
112
1.72
123
4.18
43
1.27
84
0.84
19
8.03
136
3.11
46
0.85
52
1.04
107
2.57
11
2.89
25
1.91
24
1.66
36
1.65
15
1.78
46
2.27
22
3.68
27
0.74
36
0.82
43
1.50
30
0.50
27
2.56
17
3.12
53
MIM_Stereotwo views2.33
35
4.25
86
1.37
60
0.67
47
0.53
36
0.71
52
0.17
42
4.25
47
0.35
30
3.20
47
0.72
37
2.78
41
0.38
25
0.56
56
5.00
32
5.53
94
3.23
35
2.53
59
4.66
35
2.07
59
4.47
51
5.61
55
0.58
31
1.02
51
1.39
28
0.67
30
4.67
33
1.56
31
IGEV-BASED-STEREO-two views2.35
36
2.29
34
0.80
26
0.77
62
0.57
37
0.28
30
0.08
20
4.80
49
0.37
32
7.40
100
0.69
36
2.03
30
1.13
62
0.40
40
3.39
18
4.16
47
3.45
38
2.29
53
5.18
39
1.05
28
6.58
91
7.24
92
0.83
44
0.27
16
1.59
33
0.37
24
4.31
31
1.21
28
RAFT+CT+SAtwo views2.37
37
4.62
105
0.79
25
0.68
49
0.23
18
0.13
7
0.06
17
6.04
61
0.29
25
6.20
82
0.01
14
4.71
63
1.92
95
0.34
37
3.66
22
4.41
55
2.01
27
1.59
34
4.42
34
0.99
26
4.39
49
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95
0.34
17
0.70
34
1.28
26
0.38
26
5.40
50
0.90
23
GANettwo views2.42
38
1.95
26
1.89
74
2.15
104
2.20
112
3.78
125
1.77
124
4.21
44
0.85
61
1.76
27
5.06
108
4.57
61
0.73
43
1.41
134
3.33
17
2.76
23
3.59
41
3.82
92
2.01
19
0.78
20
1.56
13
3.33
19
1.10
77
1.37
69
2.06
41
0.76
31
3.94
29
2.62
50
MGS-Stereotwo views2.56
39
4.77
116
1.09
47
0.60
39
0.46
35
0.26
25
0.16
39
3.40
30
0.31
27
1.32
25
0.56
28
1.25
22
0.64
41
0.69
72
6.72
66
4.23
49
5.87
80
3.78
91
6.51
66
2.02
57
5.30
64
5.45
50
0.83
44
1.60
84
2.17
43
0.90
32
4.65
32
3.57
54
ARAFTtwo views2.62
40
3.89
72
1.00
41
0.43
27
0.25
20
0.33
37
0.05
13
3.52
34
0.31
27
4.81
64
1.57
55
2.23
32
0.41
29
0.69
72
5.73
47
4.43
56
5.21
67
4.32
112
5.36
42
1.64
41
6.06
79
5.64
57
0.72
34
0.51
27
4.37
66
0.32
21
5.33
42
1.69
32
TESTrafttwo views2.77
41
4.56
104
0.81
28
0.55
38
0.27
22
0.23
20
0.16
39
5.54
55
0.39
33
5.52
71
0.23
24
1.81
27
2.25
121
1.13
115
7.43
82
5.23
80
3.63
42
1.19
22
4.75
36
1.60
40
4.10
42
9.80
134
0.42
22
0.81
42
1.50
30
2.68
60
5.79
55
2.34
46
UPFNettwo views2.80
42
2.08
29
2.72
91
1.48
84
2.05
107
2.71
109
1.45
116
4.24
46
1.59
100
2.77
39
2.57
68
2.11
31
0.64
41
1.73
145
6.78
69
3.46
33
4.04
51
3.22
80
5.75
48
3.37
111
2.18
20
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16
1.27
102
1.68
88
2.79
56
2.21
53
5.77
54
1.83
33
raft+_RVCtwo views2.93
43
2.63
41
2.15
76
0.63
41
0.43
34
1.15
69
0.22
50
5.94
60
0.69
57
6.53
86
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70
4.15
55
0.61
39
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21
6.01
52
5.28
84
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39
1.57
33
7.08
75
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44
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33
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47
1.01
64
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37
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63
2.32
57
6.35
67
3.03
51
LL-Strereo2two views3.00
44
2.17
31
1.57
68
0.42
26
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31
0.41
40
0.12
25
7.21
80
0.48
38
11.55
151
1.53
53
3.57
49
0.40
28
1.81
147
4.70
30
5.18
77
4.00
50
1.46
32
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98
1.86
52
4.86
57
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81
0.99
62
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25
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40
1.67
38
5.32
41
1.43
30
TestStereo1two views3.03
45
5.04
128
0.81
28
0.49
32
0.30
26
0.18
14
0.17
42
5.71
58
0.46
36
6.13
78
0.18
21
1.72
25
2.24
117
1.09
110
7.91
90
5.36
87
3.95
48
1.44
29
5.59
44
1.81
48
6.27
84
10.29
142
0.43
23
0.75
38
1.63
35
2.85
62
6.46
69
2.51
48
SA-5Ktwo views3.03
45
5.04
128
0.81
28
0.49
32
0.30
26
0.18
14
0.17
42
5.71
58
0.46
36
6.13
78
0.18
21
1.72
25
2.24
117
1.09
110
7.91
90
5.36
87
3.95
48
1.44
29
5.59
44
1.81
48
6.27
84
10.29
142
0.43
23
0.75
38
1.63
35
2.85
62
6.46
69
2.51
48
test_4two views3.07
47
2.77
44
2.57
88
0.66
44
0.62
42
0.48
43
0.39
70
7.02
76
0.26
22
13.75
176
1.17
42
5.21
70
0.55
35
0.40
40
4.72
31
5.75
99
3.87
44
2.16
46
4.02
33
1.40
34
3.94
38
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0.90
53
1.07
52
2.56
54
2.26
55
6.13
63
2.45
47
HCRNettwo views3.09
48
3.26
57
0.86
33
1.50
85
0.28
23
0.43
41
0.62
85
2.61
28
0.10
8
37.69
253
2.67
69
4.83
65
0.20
15
0.41
44
4.41
27
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12
2.07
28
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16
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25
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2.99
27
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17
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33
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38
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15
0.54
28
5.19
38
1.00
25
RAFT-Stereo + iAFFtwo views3.21
49
4.03
76
3.24
101
0.74
60
0.70
50
1.68
86
0.51
79
8.26
96
1.48
97
2.78
40
2.02
62
4.95
68
0.63
40
0.22
24
7.74
87
3.30
30
3.31
36
1.24
23
7.45
77
1.82
51
5.00
60
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54
1.02
66
1.31
60
5.88
87
2.65
59
5.98
60
3.05
52
HITNettwo views3.31
50
1.99
27
1.46
62
2.34
107
1.02
64
0.29
31
0.12
25
6.87
73
1.88
110
9.72
122
3.58
78
6.82
83
1.23
67
0.44
50
6.35
62
3.06
27
3.53
40
2.25
51
3.25
31
1.86
52
3.83
35
5.20
43
0.94
57
1.55
81
2.36
45
2.18
52
8.45
93
6.73
89
Vladimir Tankovich, Christian Häne, Yinda Zhang, Adarsh Kowdle, Sean Fanello, Sofien Bouaziz: HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching. CVPR 2021
anonymousdsp2two views3.39
51
4.36
93
2.82
92
0.60
39
0.58
39
1.78
91
0.15
34
6.54
68
0.30
26
4.12
58
4.54
90
4.48
57
0.51
34
1.27
124
5.82
50
4.50
59
3.42
37
2.18
47
11.40
116
2.21
61
4.87
59
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114
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38
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68
3.71
64
1.01
35
6.56
71
3.58
55
CAStwo views3.47
52
4.05
79
0.94
36
1.04
70
0.95
61
0.38
39
0.52
81
1.78
20
0.94
69
2.75
38
6.87
125
2.43
36
3.19
141
0.33
35
6.02
53
3.97
43
5.09
65
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55
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55
1.98
56
4.66
53
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58
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0.22
14
6.08
89
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88
7.35
83
11.91
126
IERtwo views3.62
53
3.07
51
1.37
60
1.02
69
1.14
76
1.92
94
0.87
99
4.35
48
1.04
77
2.92
42
8.63
142
10.56
112
1.01
58
2.84
159
6.76
67
4.45
57
4.43
56
2.87
68
3.87
32
3.20
104
3.32
31
4.36
33
1.57
123
1.75
92
2.74
55
6.49
103
5.73
52
5.44
74
GMStereopermissivetwo views3.90
54
4.67
107
0.58
18
0.94
65
0.83
57
1.92
94
0.62
85
9.11
112
0.66
54
2.63
37
0.76
39
13.50
146
0.28
19
0.37
39
5.75
48
4.10
46
7.59
116
1.33
28
14.31
135
2.03
58
5.87
78
4.28
32
0.78
38
1.64
85
5.42
81
4.07
77
9.09
101
2.16
41
Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Fisher Yu, Dacheng Tao, Andreas Geiger: Unifying Flow, Stereo and Depth Estimation. TPAMI 2023
Former-RAFT_DAM_RVCtwo views3.91
55
2.41
38
1.55
66
0.71
59
0.64
43
0.24
23
0.14
32
6.57
69
0.89
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6.31
85
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102
4.74
64
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66
0.23
26
8.94
101
4.62
61
5.86
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64
4.71
56
7.30
93
0.64
32
0.48
23
5.50
83
14.17
161
3.70
25
8.42
100
CIPLGtwo views3.95
56
4.47
98
1.56
67
1.43
81
1.06
71
1.44
77
0.63
88
9.98
130
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93
6.90
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104
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88
1.25
68
2.95
164
7.18
75
4.98
70
6.37
86
2.23
49
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70
2.99
101
6.61
92
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78
1.39
107
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101
4.79
72
1.67
38
5.76
53
1.89
34
ACREtwo views3.96
57
4.48
100
1.48
63
1.52
86
1.07
72
1.51
79
0.62
85
9.95
128
1.37
92
7.13
94
4.97
105
7.74
87
1.27
69
2.93
162
7.28
78
5.11
74
6.38
88
2.23
49
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61
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94
6.70
97
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70
1.40
109
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101
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43
5.83
57
1.94
35
IPLGR_Ctwo views3.97
58
4.52
101
1.51
64
1.40
80
1.05
70
1.46
78
0.60
84
9.93
127
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90
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95
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101
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90
1.30
72
3.04
165
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75
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74
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86
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52
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64
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97
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96
6.53
77
1.39
107
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103
4.69
71
1.99
51
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58
1.94
35
4D-IteraStereotwo views3.99
59
1.49
23
3.80
113
0.94
65
0.73
53
0.31
35
0.23
51
8.33
98
0.59
43
13.23
172
1.85
61
5.79
76
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44
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87
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61
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106
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62
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77
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85
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47
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129
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139
1.07
71
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60
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61
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85
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80
2.09
38
RALAANettwo views3.99
59
3.21
54
3.54
107
1.19
74
1.28
85
1.92
94
0.37
67
6.04
61
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85
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63
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89
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48
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85
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30
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93
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63
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64
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133
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101
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125
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90
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96
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98
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121
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75
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73
4.10
59
LoS_RVCtwo views4.04
61
4.37
94
4.60
131
0.32
21
1.04
68
0.26
25
0.38
68
3.48
32
1.12
80
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69
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97
3.01
43
2.65
129
0.40
40
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72
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78
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54
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103
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94
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78
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124
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85
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85
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17
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124
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72
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84
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101
tt_lltwo views4.04
61
4.37
94
4.60
131
0.32
21
1.04
68
0.26
25
0.38
68
3.48
32
1.12
80
5.36
69
4.79
97
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43
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129
0.40
40
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72
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78
4.19
54
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103
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94
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78
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124
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85
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85
0.30
17
9.61
124
3.67
72
7.38
84
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101
UNettwo views4.07
63
3.38
62
3.37
103
1.90
97
2.00
105
2.79
111
1.45
116
7.03
77
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113
5.12
66
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81
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158
5.88
51
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68
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91
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107
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117
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125
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123
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68
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85
rafts_anoytwo views4.10
64
5.28
145
3.46
106
0.76
61
1.07
72
1.36
75
0.65
90
7.75
90
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78
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74
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121
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0.89
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52
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116
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75
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67
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90
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77
RASNettwo views4.13
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4.20
127
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87
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103
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110
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96
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94
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133
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73
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36
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51
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102
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116
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HGLStereotwo views4.14
66
2.92
46
3.21
100
1.20
75
2.32
116
2.28
101
1.00
107
4.22
45
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125
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49
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136
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64
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108
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77
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63
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69
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90
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100
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64
3.76
56
SAtwo views4.15
67
4.47
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0.94
36
1.16
72
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77
0.99
65
0.21
49
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109
0.78
59
14.04
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21
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137
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52
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115
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60
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58
DMCA-RVCcopylefttwo views4.20
68
2.80
45
2.46
86
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103
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122
1.60
82
3.91
144
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41
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170
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48
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88
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122
1.43
80
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129
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126
4.78
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58
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62
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IPLGtwo views4.24
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77
0.68
49
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75
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80
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111
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107
4.60
121
6.54
67
2.28
65
3.92
37
10.36
145
1.09
76
1.71
89
5.10
76
9.17
119
6.94
75
5.00
71
AnonymousMtwo views4.26
70
2.25
33
0.97
38
1.06
71
0.21
17
1.11
67
0.05
13
6.76
71
0.96
70
7.95
106
4.01
83
3.86
53
0.94
54
0.91
99
7.03
74
6.02
108
7.25
105
3.41
86
6.04
54
2.75
92
8.23
122
7.64
107
1.49
119
1.56
82
1.59
33
5.83
94
10.38
127
14.89
152
GMOStereotwo views4.29
71
3.81
68
1.03
43
1.66
87
1.21
80
0.59
47
0.89
100
8.71
104
0.92
65
14.91
191
0.68
32
6.44
78
1.33
73
0.32
31
5.44
38
6.43
119
5.22
68
3.98
98
8.64
90
2.44
73
5.51
69
10.60
147
0.94
57
1.33
62
7.36
102
3.40
67
9.67
106
2.32
42
error versiontwo views4.29
71
3.81
68
1.03
43
1.66
87
1.21
80
0.59
47
0.89
100
8.71
104
0.92
65
14.91
191
0.68
32
6.44
78
1.33
73
0.32
31
5.44
38
6.43
119
5.22
68
3.98
98
8.64
90
2.44
73
5.51
69
10.60
147
0.94
57
1.33
62
7.36
102
3.40
67
9.67
106
2.32
42
test-vtwo views4.29
71
3.81
68
1.03
43
1.66
87
1.21
80
0.59
47
0.89
100
8.71
104
0.92
65
14.91
191
0.68
32
6.44
78
1.33
73
0.32
31
5.44
38
6.43
119
5.22
68
3.98
98
8.64
90
2.44
73
5.51
69
10.60
147
0.94
57
1.33
62
7.36
102
3.40
67
9.67
106
2.32
42
test-2two views4.29
71
3.81
68
1.03
43
1.66
87
1.21
80
0.59
47
0.89
100
8.71
104
0.92
65
14.91
191
0.68
32
6.44
78
1.33
73
0.32
31
5.44
38
6.43
119
5.22
68
3.98
98
8.64
90
2.44
73
5.51
69
10.60
147
0.94
57
1.33
62
7.36
102
3.40
67
9.67
106
2.32
42
GCAP-BATtwo views4.33
75
4.70
108
1.16
51
0.70
52
0.64
43
0.76
53
0.23
51
7.27
81
0.62
45
10.04
126
1.26
44
10.83
114
0.78
44
0.69
72
6.18
55
6.64
128
17.70
206
2.60
60
7.61
79
2.71
85
9.11
130
7.54
100
1.20
89
1.53
75
2.52
48
1.93
45
5.36
43
4.61
63
test_for_modeltwo views4.33
75
4.70
108
1.16
51
0.70
52
0.64
43
0.76
53
0.23
51
7.27
81
0.62
45
10.04
126
1.26
44
10.83
114
0.78
44
0.69
72
6.18
55
6.64
128
17.70
206
2.60
60
7.61
79
2.71
85
9.11
130
7.54
100
1.20
89
1.53
75
2.52
48
1.93
45
5.36
43
4.61
63
testlalala2two views4.33
75
4.70
108
1.16
51
0.70
52
0.64
43
0.76
53
0.23
51
7.27
81
0.62
45
10.04
126
1.26
44
10.83
114
0.78
44
0.69
72
6.18
55
6.64
128
17.70
206
2.60
60
7.61
79
2.71
85
9.11
130
7.54
100
1.20
89
1.53
75
2.52
48
1.93
45
5.36
43
4.61
63
testlalalatwo views4.33
75
4.70
108
1.16
51
0.70
52
0.64
43
0.76
53
0.23
51
7.27
81
0.62
45
10.04
126
1.26
44
10.83
114
0.78
44
0.69
72
6.18
55
6.64
128
17.70
206
2.60
60
7.61
79
2.71
85
9.11
130
7.54
100
1.20
89
1.53
75
2.52
48
1.93
45
5.36
43
4.61
63
testlalala_basetwo views4.33
75
4.70
108
1.16
51
0.70
52
0.64
43
0.76
53
0.23
51
7.27
81
0.62
45
10.04
126
1.26
44
10.83
114
0.78
44
0.69
72
6.18
55
6.64
128
17.70
206
2.60
60
7.61
79
2.71
85
9.11
130
7.54
100
1.20
89
1.53
75
2.52
48
1.93
45
5.36
43
4.61
63
SPstereotwo views4.33
75
4.70
108
1.16
51
0.70
52
0.64
43
0.76
53
0.23
51
7.27
81
0.62
45
10.04
126
1.26
44
10.83
114
0.78
44
0.69
72
6.18
55
6.64
128
17.70
206
2.60
60
7.61
79
2.71
85
9.11
130
7.54
100
1.20
89
1.53
75
2.52
48
1.93
45
5.36
43
4.61
63
CASnettwo views4.34
81
5.12
135
1.12
48
0.70
52
0.75
54
0.58
46
0.39
70
9.19
114
1.02
75
15.09
198
2.50
67
13.52
148
1.38
77
0.41
44
9.16
105
3.35
31
3.91
46
1.04
21
12.44
126
1.51
38
7.51
107
5.97
63
0.82
43
0.86
44
4.21
65
0.98
34
7.10
78
6.60
83
Junhong Min, Youngpil Jeon: Confidence Aware Stereo Matching for Realistic Cluttered Scenario. ICIP 2024 submissions (1861)
RALCasStereoNettwo views4.35
82
5.09
133
3.69
110
1.35
79
1.42
90
1.79
92
0.85
98
7.96
93
0.72
58
8.73
115
4.64
93
7.54
85
1.02
59
0.42
47
7.87
89
6.24
114
6.77
95
4.66
123
5.71
47
2.60
82
5.78
76
6.51
74
1.16
83
2.14
113
6.39
95
4.72
84
5.11
36
6.64
85
DISCOtwo views4.36
83
4.01
75
1.58
69
2.04
101
2.19
111
4.90
137
4.07
146
4.05
40
3.87
154
4.97
65
7.45
132
2.57
38
2.23
116
0.71
81
8.10
95
4.26
50
6.68
93
4.39
116
9.03
99
3.53
114
5.04
61
6.00
65
1.61
127
1.80
96
4.55
69
4.87
87
7.21
79
5.94
80
DSFCAtwo views4.41
84
5.06
131
2.31
81
2.64
112
2.59
125
3.16
118
2.35
135
3.92
39
2.51
130
3.14
46
7.17
128
4.92
67
1.14
63
0.69
72
7.44
83
4.94
69
4.99
63
4.67
124
8.79
96
3.42
113
5.56
74
7.57
106
2.39
153
3.16
139
5.18
77
5.44
90
6.17
65
7.69
94
raftrobusttwo views4.53
85
2.11
30
3.77
111
1.33
78
1.02
64
0.62
51
0.25
59
9.42
117
0.85
61
13.22
171
5.80
112
5.79
76
1.11
61
0.66
69
8.99
104
6.78
135
5.54
76
2.99
74
8.41
89
2.41
71
6.19
80
7.10
89
1.60
125
1.01
50
7.62
110
5.85
95
6.40
68
5.41
73
ADLNettwo views4.78
86
5.77
155
2.55
87
2.37
108
3.09
135
3.37
120
1.44
115
6.29
65
1.76
106
3.10
45
5.98
116
17.05
173
2.19
113
10.10
217
7.71
86
4.04
44
4.84
61
3.52
87
5.20
40
2.98
100
3.49
32
6.41
72
1.30
103
1.42
71
5.26
78
7.50
110
5.92
59
4.42
60
Sa-1000two views4.82
87
4.54
103
0.97
38
0.94
65
1.41
89
1.16
70
0.26
60
9.36
115
1.31
85
13.81
177
0.74
38
5.59
72
1.86
94
1.82
148
9.30
109
5.32
85
8.02
119
3.82
92
10.50
108
1.93
55
6.62
94
9.47
128
0.40
20
2.13
112
8.51
117
5.62
92
10.31
126
4.46
62
CREStereo++_RVCtwo views4.82
87
4.71
114
4.82
137
1.18
73
1.67
95
0.27
28
0.24
58
7.01
75
1.31
85
8.33
110
3.27
72
8.81
100
7.68
184
0.57
57
8.23
96
5.43
91
8.62
129
1.76
39
6.14
55
1.75
45
6.38
88
5.54
52
1.24
99
1.09
53
5.69
84
7.05
105
10.78
133
10.46
114
Junpeng Jing, Jiankun Li, Pengfei Xiong, Jiangyu Liu, Shuaicheng Liu, Yichen Guo, Xin Deng, Mai Xu, Lai Jiang, Leonid Sigal: Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching. ICCV2023
FINETtwo views4.84
89
2.73
43
2.91
95
3.55
127
1.54
91
1.77
89
1.63
121
3.80
38
4.30
162
4.15
59
4.26
87
4.84
66
3.87
150
1.56
139
19.30
213
7.15
143
5.60
77
2.00
44
10.33
106
2.91
95
6.25
83
6.56
79
0.88
51
2.29
117
5.74
85
7.34
106
7.02
77
6.37
82
CFNettwo views4.85
90
4.04
78
2.27
80
4.54
134
2.60
126
2.45
105
1.39
114
6.79
72
0.96
70
4.30
61
4.87
103
17.29
176
3.33
143
0.57
57
7.60
84
3.46
33
4.61
59
2.99
74
5.89
50
2.60
82
4.70
55
4.05
30
0.99
62
1.30
59
9.51
122
8.10
111
9.05
100
10.68
118
test-3two views5.18
91
3.23
55
4.10
124
1.86
95
1.86
98
1.70
87
0.74
94
9.64
123
0.56
40
10.91
143
1.64
57
16.57
169
1.14
63
0.60
62
10.11
117
5.95
105
7.17
104
3.29
82
14.55
137
2.22
63
6.62
94
11.30
162
1.03
67
1.91
103
5.35
80
2.94
64
7.28
81
5.55
76
test_1two views5.18
91
3.23
55
4.10
124
1.86
95
1.87
99
1.70
87
0.74
94
9.64
123
0.56
40
11.01
145
1.60
56
16.58
170
1.15
65
0.60
62
10.10
116
5.94
104
7.11
102
3.28
81
14.57
139
2.21
61
6.61
92
11.28
161
1.01
64
1.91
103
5.33
79
2.95
65
7.33
82
5.53
75
CREStereotwo views5.18
91
5.10
134
4.33
129
1.45
82
0.57
37
0.91
61
0.13
29
9.54
120
2.07
120
10.04
126
4.11
85
12.15
129
2.80
136
0.84
92
6.88
71
6.63
127
9.31
137
1.68
38
6.15
57
2.54
80
8.14
119
5.90
62
1.37
105
1.48
73
6.90
100
7.45
108
9.76
111
11.65
125
Jiankun Li, Peisen Wang, Pengfei Xiong, Tao Cai, Ziwei Yan, Lei Yang, Jiangyu Liu, Haoqiang Fan, Shuaicheng Liu: Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation. CVPR 2022
trnettwo views5.26
94
5.12
135
4.24
128
1.46
83
0.60
40
0.89
60
0.15
34
9.63
122
1.95
115
12.27
156
4.05
84
12.85
139
2.76
135
0.83
91
6.68
65
6.45
123
8.87
133
1.86
42
5.95
52
2.39
70
7.66
111
5.85
60
1.26
100
1.50
74
6.93
101
7.40
107
10.21
120
12.09
128
iResNet_ROBtwo views5.34
95
4.86
120
3.99
122
2.90
115
1.66
94
2.83
112
2.34
133
7.80
91
1.45
95
6.14
80
7.77
135
4.52
58
9.57
187
0.92
100
7.42
81
5.40
90
7.37
110
4.91
129
11.52
117
3.30
109
5.49
68
3.56
26
1.45
115
4.26
159
8.06
114
5.94
96
9.61
103
9.22
109
PDISCO_ROBtwo views5.41
96
3.28
58
2.38
82
2.89
114
2.24
114
1.67
85
2.19
128
5.28
51
2.32
123
2.53
36
5.17
109
5.18
69
2.10
103
1.79
146
8.46
99
7.12
141
6.44
89
10.68
205
6.43
63
4.63
130
8.67
128
9.64
132
1.48
118
2.61
129
7.46
107
6.84
104
17.41
182
9.17
108
EGLCR-Stereotwo views5.43
97
4.87
121
4.77
135
0.67
47
0.97
62
3.61
123
0.12
25
8.74
108
1.78
107
8.91
116
3.52
76
9.05
104
2.47
126
1.04
107
5.46
42
5.76
100
6.73
94
4.23
111
8.81
97
2.36
69
9.21
137
10.88
154
1.15
82
1.66
87
6.38
94
4.86
86
14.90
167
13.73
144
TestStereotwo views5.43
97
5.18
139
3.77
111
2.21
105
0.70
50
3.59
122
0.14
32
12.22
165
0.62
45
21.12
226
2.16
64
12.22
131
1.59
86
0.33
35
6.76
67
3.22
29
6.87
99
1.26
24
14.41
136
1.92
54
12.12
174
5.00
40
0.93
55
0.92
48
6.36
93
3.76
74
10.42
130
6.72
87
PMTNettwo views5.47
99
4.92
124
4.80
136
0.91
64
1.08
74
0.92
63
0.27
61
6.90
74
2.00
118
9.81
124
3.41
74
11.69
123
0.99
57
0.82
89
10.91
133
6.28
115
8.36
124
1.66
36
11.00
111
1.53
39
8.61
127
5.62
56
1.37
105
0.36
21
9.64
127
9.34
120
9.77
113
14.79
151
iinet-ftwo views5.53
100
4.11
81
2.38
82
2.32
106
0.76
55
4.74
133
1.51
118
3.77
37
1.00
73
5.76
74
15.94
206
7.90
92
3.29
142
0.55
54
10.32
119
6.53
124
6.17
85
3.17
79
19.31
169
5.24
135
7.25
103
8.85
122
1.77
135
1.86
97
6.64
98
2.26
55
9.26
102
6.72
87
GLC_STEREOtwo views5.61
101
5.42
150
4.07
123
1.90
97
2.18
110
0.86
59
0.39
70
9.53
119
0.84
60
13.27
173
6.70
123
8.87
101
1.55
84
2.01
150
6.04
54
5.11
74
12.60
177
2.32
54
9.56
101
2.99
101
17.88
216
9.98
138
0.92
54
1.34
66
4.45
67
1.79
42
13.27
156
5.66
78
test_3two views5.64
102
3.29
59
3.97
121
1.97
100
1.90
100
1.64
84
0.72
93
10.37
139
0.59
43
15.61
203
1.14
41
20.54
189
1.27
69
0.55
54
9.94
114
5.85
101
7.42
111
3.91
96
14.64
140
2.30
66
6.70
97
12.93
193
0.93
55
1.77
93
5.86
86
4.36
80
7.52
87
4.70
70
MIPNettwo views5.83
103
5.26
143
2.99
97
0.98
68
1.56
92
1.98
97
1.61
119
9.96
129
1.11
79
5.14
67
5.05
107
12.09
125
3.90
151
0.84
92
8.96
103
6.11
111
8.51
126
5.12
135
10.61
109
4.34
123
3.77
34
10.93
155
1.45
115
2.36
121
9.84
130
14.56
162
7.87
91
10.59
116
DN-CSS_ROBtwo views5.84
104
3.98
73
4.89
141
2.48
109
3.06
131
0.98
64
0.50
78
10.91
148
1.70
105
10.36
137
11.91
177
14.40
156
4.86
162
0.59
61
9.97
115
3.88
40
7.49
115
3.54
88
15.42
147
2.91
95
8.10
118
5.59
53
1.49
119
5.32
177
6.22
91
3.87
75
7.44
86
5.87
79
LMCR-Stereopermissivemany views5.87
105
4.35
90
3.34
102
1.22
76
2.03
106
3.04
115
0.20
48
7.49
88
2.50
129
6.88
92
4.15
86
10.75
113
0.94
54
0.73
83
9.32
110
5.61
97
10.09
150
4.83
128
17.85
161
6.65
149
9.53
139
9.49
129
1.13
80
2.80
134
5.45
82
5.39
89
10.69
132
11.94
127
BEATNet_4xtwo views5.91
106
3.06
50
2.41
84
3.36
123
2.33
117
1.06
66
0.94
105
8.38
100
3.63
152
16.74
210
3.67
82
9.64
107
3.53
145
1.41
134
11.00
136
6.56
126
7.12
103
6.46
158
6.66
72
2.95
98
9.82
143
11.80
171
1.03
67
3.52
146
4.86
73
5.50
91
11.11
138
10.98
123
CFNet_RVCtwo views6.00
107
5.59
152
4.72
134
5.12
141
4.80
153
4.81
134
1.17
110
6.16
63
2.48
127
5.62
72
10.61
164
7.86
91
1.93
97
1.13
115
13.61
167
4.75
65
5.84
78
4.41
117
7.57
78
3.91
115
7.48
104
6.90
84
1.11
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2.98
136
10.57
140
10.04
126
10.27
125
10.47
115
raft_robusttwo views6.05
108
4.31
89
1.14
49
1.73
92
0.82
56
1.84
93
0.42
74
10.69
146
1.36
90
28.25
242
1.33
50
9.02
102
2.26
122
0.97
104
6.44
64
6.14
112
7.04
101
4.22
109
12.24
122
2.30
66
8.42
126
10.32
144
0.84
48
1.74
90
8.13
115
13.91
159
9.82
114
7.69
94
iResNetv2_ROBtwo views6.05
108
4.28
88
2.23
79
4.71
135
2.24
114
4.86
135
1.33
113
8.64
103
2.39
124
6.18
81
12.61
181
13.59
150
7.05
181
0.58
59
8.09
94
5.25
81
5.39
74
4.22
109
14.95
143
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127
7.49
105
5.69
59
1.68
130
4.14
155
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108
5.95
97
10.01
119
7.68
93
NLCA_NET_v2_RVCtwo views6.09
110
5.63
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4.87
140
3.55
127
8.43
179
3.01
114
12.59
202
6.37
66
7.74
182
5.80
76
5.61
111
13.50
146
2.29
123
6.72
207
14.49
172
3.92
41
4.47
57
3.11
78
6.63
70
2.83
93
4.23
45
5.18
42
1.67
129
1.79
95
4.98
74
9.78
123
6.92
74
8.19
98
Zhibo Rao, Mingyi He, Yuchao Dai, Zhidong Zhu, Bo Li, and Renjie He.: NLCA-Net: A non-local context attention network for stereo matching.
CEStwo views6.28
111
2.98
48
1.77
73
0.69
51
1.40
88
1.43
76
0.36
66
30.80
232
1.60
101
6.30
84
13.83
197
8.43
98
1.96
98
0.53
53
7.21
77
7.08
140
8.18
123
3.02
76
6.70
73
2.59
81
24.93
242
6.37
70
1.82
140
0.76
41
7.71
112
3.66
71
7.57
88
9.83
110
STTStereotwo views6.30
112
6.79
166
6.89
169
3.54
126
6.06
163
3.21
119
9.84
188
5.37
53
4.19
158
4.07
57
7.03
127
10.49
111
4.26
157
6.44
205
17.35
198
4.35
52
5.12
66
5.75
147
6.22
58
2.51
77
5.54
73
5.22
45
1.81
139
1.74
90
6.74
99
8.41
115
7.91
92
13.24
137
CFNet_pseudotwo views6.35
113
3.64
67
3.95
118
6.22
153
3.40
137
6.22
149
0.43
75
10.30
135
1.26
83
14.45
185
11.60
175
8.35
96
6.66
176
2.77
157
10.34
120
5.88
102
5.35
73
4.10
106
9.06
100
3.33
110
4.66
53
5.47
51
1.57
123
2.11
109
7.49
109
8.20
113
11.50
140
13.20
136
AF-Nettwo views6.36
114
4.98
126
3.95
118
5.13
142
6.64
169
7.67
160
6.90
167
7.20
78
7.09
177
2.02
30
9.17
146
12.89
140
2.94
137
3.10
166
10.82
130
4.38
53
4.13
52
2.95
72
8.19
87
3.20
104
4.38
47
6.51
74
2.71
165
2.64
130
6.46
96
10.20
127
15.42
169
9.93
111
Nwc_Nettwo views6.36
114
4.98
126
3.95
118
5.13
142
6.64
169
7.67
160
6.90
167
7.20
78
7.09
177
2.02
30
9.17
146
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140
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137
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166
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130
4.38
53
4.13
52
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72
8.19
87
3.20
104
4.38
47
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74
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165
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130
6.46
96
10.20
127
15.42
169
9.93
111
IPLGRtwo views6.49
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6.27
163
3.85
117
2.83
113
2.07
108
1.18
72
0.63
88
10.23
132
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63
8.03
107
9.43
149
12.25
132
2.59
127
0.81
87
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127
5.27
83
6.78
96
6.46
158
15.92
151
6.23
145
6.23
82
11.42
163
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109
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140
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135
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148
9.76
111
7.94
96
ddtwo views6.86
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5.35
147
1.14
49
24.72
220
0.60
40
12.40
187
0.98
106
8.44
101
0.56
40
7.82
103
0.11
18
26.27
199
0.39
26
1.26
122
8.44
97
5.04
71
16.15
199
2.90
70
20.80
179
2.20
60
5.14
62
4.67
37
1.11
78
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114
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106
2.39
58
10.58
131
6.27
81
FADNet-RVC-Resampletwo views6.87
118
5.38
148
3.18
99
3.36
123
2.87
127
2.67
108
4.17
148
11.61
158
3.51
147
15.21
199
4.97
105
11.31
121
3.14
140
3.26
169
11.75
148
5.35
86
6.94
100
7.39
174
12.03
120
7.21
161
6.35
87
11.21
158
1.76
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8.18
194
7.65
111
8.35
114
5.82
56
10.93
122
AE-Stereotwo views6.96
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4.72
115
4.98
146
5.02
139
1.21
80
1.77
89
2.32
131
9.06
111
0.97
72
14.06
180
1.56
54
16.24
168
2.11
106
1.10
113
10.16
118
7.71
154
10.84
157
5.95
150
12.72
127
6.14
144
10.28
150
12.68
188
1.26
100
5.31
176
11.02
142
8.15
112
11.85
145
8.84
106
GEStwo views6.96
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5.77
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2.99
97
2.54
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2.99
128
6.21
148
2.68
139
7.46
87
3.09
141
9.09
119
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134
5.22
71
1.78
90
3.52
176
15.09
176
8.28
162
12.16
174
6.94
165
21.59
183
7.17
159
10.61
153
8.53
117
2.06
146
4.39
164
5.89
88
4.58
82
8.71
94
10.80
119
AACVNettwo views7.03
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4.44
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2.21
78
7.10
161
8.39
177
6.28
150
2.48
137
9.12
113
2.53
132
10.11
134
10.84
169
8.45
99
2.24
117
1.83
149
10.51
124
6.02
108
8.86
131
6.36
157
11.83
119
5.92
141
7.14
101
7.48
97
2.74
167
3.92
154
9.06
118
9.86
124
10.24
121
13.93
149
sCroCo_RVCtwo views7.03
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3.31
60
1.19
57
0.49
32
1.02
64
3.09
116
0.58
83
9.79
126
3.54
148
6.01
77
3.52
76
4.54
59
5.12
163
1.02
106
10.98
134
13.72
228
12.36
176
8.89
186
18.51
165
6.56
148
17.09
208
15.71
217
0.78
38
2.57
128
9.80
128
7.46
109
13.51
160
8.78
104
sAnonymous2two views7.06
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3.11
52
1.22
58
0.66
44
0.90
58
3.81
126
0.28
62
13.71
178
3.56
149
3.78
51
6.09
117
5.62
74
4.01
152
0.43
48
10.38
121
10.81
194
11.06
160
9.65
193
19.93
173
7.58
168
11.77
167
13.75
204
1.89
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2.01
106
11.14
144
10.75
130
10.41
128
12.21
129
CroCo_RVCtwo views7.06
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3.11
52
1.22
58
0.66
44
0.90
58
3.81
126
0.28
62
13.71
178
3.56
149
3.78
51
6.09
117
5.62
74
4.01
152
0.43
48
10.38
121
10.81
194
11.06
160
9.65
193
19.93
173
7.58
168
11.77
167
13.75
204
1.89
142
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106
11.14
144
10.75
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10.41
128
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129
HSMtwo views7.17
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148
4.72
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4.35
147
2.09
98
1.92
125
13.26
175
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110
9.97
125
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161
9.39
106
4.41
158
1.59
141
13.06
161
5.37
89
11.25
166
4.34
114
10.38
107
4.80
132
11.09
159
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83
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158
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131
11.75
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11.65
143
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135
DLCB_ROBtwo views7.17
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5.13
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4.67
133
2.90
115
4.14
143
3.73
124
3.59
143
6.60
70
3.96
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8.05
108
9.83
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12.27
134
5.87
170
3.15
168
9.36
111
5.48
92
7.47
112
4.61
122
6.02
53
4.01
118
7.50
106
7.06
88
2.96
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3.69
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27.73
224
12.61
146
12.96
153
8.37
99
DeepPrunerFtwo views7.20
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2.93
96
5.72
149
14.85
212
4.99
138
6.76
165
6.37
66
5.88
173
3.01
44
10.81
168
3.32
47
2.11
106
2.56
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11.43
143
8.50
165
7.27
106
4.44
118
12.31
124
4.64
131
7.59
109
7.83
110
3.44
175
3.02
137
22.93
215
11.60
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6.95
76
8.18
97
FADNet-RVCtwo views7.21
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5.12
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2.88
93
5.40
144
3.71
138
2.30
102
6.27
161
12.00
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2.03
119
11.39
148
5.22
110
13.63
151
3.74
149
1.67
144
17.93
204
5.91
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6.82
97
4.04
103
19.54
171
5.81
139
7.11
100
7.81
109
1.17
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5.65
180
8.17
116
10.78
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7.75
89
10.91
121
APVNettwo views7.34
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4.37
94
2.67
90
4.05
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5.06
159
8.50
166
6.14
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10.48
143
3.12
142
3.69
50
11.27
174
5.59
72
1.65
88
1.59
141
11.84
149
10.24
185
12.82
178
9.20
187
15.99
152
7.00
156
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116
9.81
135
1.74
133
4.94
171
9.17
119
4.54
81
15.67
172
9.05
107
R-Stereo Traintwo views7.50
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5.21
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4.96
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4.81
137
1.90
100
5.37
140
0.13
29
10.31
136
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135
13.06
164
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13.07
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2.12
108
0.65
66
10.76
128
8.91
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11.09
162
5.40
140
15.52
148
4.08
119
11.16
161
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1.07
71
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99
12.73
155
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98
13.40
139
RAFT-Stereopermissivetwo views7.50
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5.21
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4.81
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1.90
100
5.37
140
0.13
29
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136
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13.06
164
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0.65
66
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128
8.91
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11.09
162
5.40
140
15.52
148
4.08
119
11.16
161
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167
1.07
71
1.89
99
12.73
155
13.26
152
8.91
98
13.40
139
Lahav Lipson, Zachary Teed, and Jia Deng: RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching. 3DV
NVstereo2Dtwo views7.57
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4.27
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3.58
108
6.26
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4.59
150
14.21
194
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95
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3.85
54
7.02
126
6.79
82
1.38
77
28.21
245
11.18
138
7.52
150
8.44
125
6.94
165
6.28
59
2.96
99
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75
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46
7.02
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162
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147
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101
6.71
72
6.62
84
s12784htwo views7.59
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8.38
169
4.49
149
1.55
80
0.35
65
9.51
118
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114
10.78
142
4.75
95
15.84
165
6.65
175
0.67
71
6.82
70
5.52
93
9.19
136
2.47
57
11.23
113
1.81
48
10.85
156
6.41
72
1.14
81
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98
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146
15.68
168
16.61
180
26.90
202
MyStereo04two views7.63
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6.01
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6.84
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3.45
125
2.51
123
2.22
99
0.55
82
10.61
145
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10.28
136
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75
14.93
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1.59
86
0.51
51
10.99
135
7.85
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7.34
108
6.13
155
16.95
158
7.12
157
10.52
152
10.18
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2.18
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17.70
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16.28
177
10.07
113
psm_uptwo views7.69
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8.44
165
2.34
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10.50
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10.07
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6.59
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8.07
94
6.02
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2.94
163
13.42
163
6.02
108
8.60
128
4.73
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6.19
80
6.32
68
1.08
75
6.12
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186
12.16
147
10.87
120
TANstereotwo views7.85
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90
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2.90
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3.06
131
4.17
129
0.15
34
5.61
56
1.79
108
6.80
89
3.66
80
2.23
32
2.72
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4.32
182
11.69
146
13.36
224
11.04
158
18.99
239
22.41
186
18.43
230
7.67
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98
29.22
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57
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35
6.05
98
10.26
123
6.77
90
XX-TBDtwo views7.85
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4.35
90
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3.06
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4.17
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0.15
34
5.61
56
1.79
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6.80
89
3.66
80
2.23
32
2.72
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4.32
182
11.69
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13.36
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11.04
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18.99
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18.43
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7.67
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29.22
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57
1.63
35
6.05
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6.77
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DeepPruner_ROBtwo views7.92
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3.51
65
6.37
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5.46
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6.07
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4.89
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17.45
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135
7.69
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8.59
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RPtwo views7.93
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33
13.63
195
12.80
137
6.09
173
3.46
174
11.66
144
5.26
82
6.64
92
3.37
84
9.96
105
4.25
122
6.38
88
7.77
108
1.80
137
4.27
160
10.35
138
11.04
134
11.90
146
13.70
143
ICVPtwo views8.04
140
4.82
118
9.27
186
5.44
145
4.90
155
5.99
146
1.98
126
8.28
97
4.21
160
7.84
105
8.12
137
9.78
108
6.78
178
1.50
137
10.42
123
7.29
144
7.86
117
5.56
144
11.37
115
5.74
138
7.64
110
14.44
208
16.54
233
5.47
178
9.55
123
12.28
144
11.11
138
12.84
132
Kwon, Oh-Hun and Zell, Eduard: Image-Coupled Volume Propagation for Stereo Matching. 2023 IEEE International Conference on Image Processing (ICIP)
UCFNet_RVCtwo views8.04
140
11.14
199
4.13
126
8.72
170
6.57
168
5.93
145
2.30
130
9.62
121
2.95
138
10.66
141
9.52
151
24.39
194
4.14
154
0.97
104
13.73
168
4.54
60
5.28
72
5.09
133
9.79
103
4.53
128
8.08
117
6.63
80
3.12
170
3.67
151
16.44
186
11.59
136
9.65
104
13.88
147
ADCP+two views8.05
142
5.92
158
6.93
170
3.99
130
4.43
148
6.34
151
8.71
178
9.37
116
15.43
212
4.24
60
12.54
180
16.68
171
1.49
82
3.79
179
10.52
125
5.54
95
6.16
84
4.52
119
13.82
132
3.39
112
7.54
108
8.85
122
2.40
154
2.28
116
7.73
113
20.38
202
8.72
95
15.58
156
Any-RAFTtwo views8.19
143
4.90
123
10.50
194
5.80
150
3.78
139
1.17
71
0.77
97
9.70
125
1.60
101
8.47
111
11.26
173
12.44
135
1.05
60
0.72
82
11.34
142
7.87
157
9.33
138
4.19
108
18.87
166
4.47
126
11.84
170
10.68
151
1.80
137
2.31
118
16.30
184
19.31
190
10.24
121
20.46
175
MSMDNettwo views8.24
144
5.51
151
5.42
155
1.73
92
2.44
120
2.42
104
1.05
108
10.24
133
1.62
104
11.46
149
10.58
162
11.87
124
3.62
147
1.32
128
9.46
112
11.94
210
11.12
164
5.21
136
22.87
191
13.50
213
12.31
176
13.05
195
2.07
147
2.39
124
11.80
149
8.70
117
13.41
158
15.41
155
cross-rafttwo views8.45
145
5.93
159
5.25
152
3.68
129
2.36
118
3.38
121
0.69
91
12.16
164
1.33
88
13.85
178
9.94
156
14.13
153
1.85
93
1.09
110
9.28
108
10.98
200
10.68
154
4.34
114
22.38
185
8.07
176
12.96
183
15.69
216
2.04
145
2.41
125
13.22
161
12.01
142
13.21
155
15.25
154
PWCDC_ROBbinarytwo views8.48
146
2.68
42
2.41
84
1.77
94
3.89
141
2.60
107
2.20
129
4.15
42
26.51
235
1.67
26
12.67
182
4.07
54
47.63
251
9.37
214
12.01
155
8.35
164
6.47
90
6.66
162
7.34
76
5.97
142
7.86
115
15.14
211
3.30
172
3.52
146
3.04
58
9.40
121
5.37
49
13.03
134
MSKI-zero shottwo views8.49
147
5.05
130
4.89
141
3.10
119
2.11
109
4.14
128
1.62
120
12.73
170
1.98
117
12.06
154
10.21
158
12.11
126
1.84
92
0.58
59
11.33
141
10.25
187
10.71
155
4.33
113
20.93
180
7.77
170
11.15
160
12.31
180
1.31
104
3.34
144
10.19
134
19.55
193
15.45
171
18.28
165
HHtwo views8.59
148
2.53
39
11.01
198
3.34
121
3.05
129
5.63
143
4.30
149
11.08
150
2.44
125
12.80
160
4.81
99
12.13
127
2.10
103
1.40
132
9.16
105
11.22
202
9.54
139
6.11
153
16.75
155
8.03
174
14.78
197
12.23
176
2.46
156
2.33
119
9.97
132
16.05
173
14.04
163
22.72
186
HanStereotwo views8.59
148
2.53
39
11.01
198
3.34
121
3.05
129
5.63
143
4.30
149
11.08
150
2.44
125
12.80
160
4.81
99
12.13
127
2.10
103
1.40
132
9.16
105
11.22
202
9.54
139
6.11
153
16.75
155
8.03
174
14.78
197
12.23
176
2.46
156
2.33
119
9.97
132
16.05
173
14.04
163
22.72
186
RAFT-Testtwo views8.62
150
5.23
142
5.19
151
5.60
148
2.38
119
2.23
100
1.27
112
11.26
153
1.60
101
12.29
157
11.92
178
12.55
136
2.32
124
1.21
120
9.80
113
11.74
209
10.82
156
5.07
132
22.12
184
9.72
191
12.92
181
12.48
181
2.07
147
2.43
126
13.00
159
15.69
169
13.59
161
16.21
158
XX-Stereotwo views8.88
151
2.94
47
4.34
130
7.37
164
1.20
79
6.54
154
2.32
131
12.63
169
1.03
76
11.47
150
9.68
153
13.58
149
2.14
111
0.95
101
11.94
153
11.04
201
9.63
141
5.48
142
14.82
141
6.02
143
9.17
136
8.79
121
1.54
122
1.11
54
33.29
235
11.65
138
12.59
150
26.46
200
FADNettwo views8.90
152
6.06
161
3.45
105
5.86
152
3.92
142
4.58
131
8.86
181
16.32
194
3.05
140
15.60
202
13.11
185
14.34
155
5.46
169
2.10
152
16.01
186
5.56
96
5.92
82
5.93
149
24.14
193
6.27
146
10.29
151
8.68
118
1.06
70
2.89
135
13.92
167
13.78
157
9.65
104
13.41
141
EAI-Stereotwo views9.00
153
5.32
146
5.61
158
5.46
146
5.04
158
7.34
158
7.45
171
12.95
171
3.41
146
10.50
139
9.99
157
13.44
145
1.92
95
1.38
129
14.88
175
11.30
204
9.83
145
4.93
130
18.90
167
9.69
190
9.61
140
11.55
164
1.72
132
3.08
138
12.74
157
12.56
145
13.29
157
19.20
168
test-1two views9.03
154
2.34
36
5.48
156
2.04
101
2.44
120
10.36
177
2.08
127
15.78
192
2.11
122
13.20
170
7.46
133
12.90
142
3.07
139
0.60
62
11.90
151
9.29
173
10.31
152
7.42
175
24.63
196
7.50
165
11.56
166
15.65
215
1.41
112
2.69
132
14.50
176
14.96
164
12.27
148
19.94
172
MLCVtwo views9.18
155
4.79
117
5.80
161
12.16
186
5.39
160
9.92
173
3.94
145
14.83
188
3.29
145
9.44
121
12.83
184
17.57
179
13.01
198
0.82
89
12.00
154
5.07
73
9.75
143
5.71
145
21.28
182
4.42
124
7.71
114
9.82
136
2.57
163
6.81
188
11.89
151
12.02
143
11.53
141
13.38
138
ADCReftwo views9.21
156
6.62
164
5.04
147
2.49
110
4.72
152
8.63
167
8.06
173
8.92
110
13.94
206
6.83
91
10.59
163
12.26
133
3.73
148
3.37
171
12.78
157
8.01
160
8.86
131
7.48
176
18.21
163
6.77
153
10.68
155
12.08
173
5.00
190
4.61
167
10.99
141
17.90
184
9.87
115
20.28
174
LoStwo views9.22
157
4.15
82
1.51
64
1.26
77
1.58
93
3.09
116
0.29
64
49.58
258
2.48
127
25.58
236
30.53
249
14.96
160
2.40
125
0.84
92
6.37
63
7.85
155
8.05
120
3.37
84
11.27
114
2.42
72
10.92
157
8.42
116
1.84
141
1.42
71
14.88
178
9.13
118
9.71
110
14.97
153
Kunhong Li, Longguang Wang, Ye Zhang, Kaiwen Xue, Shunbo Zhou, Yulan Guo: LoS: Local Structure-guided Stereo Matching.
pcwnet_v2two views9.22
157
4.09
80
5.68
159
9.03
172
4.96
156
8.36
164
3.46
142
10.42
140
4.10
156
13.66
175
13.37
189
10.34
110
21.62
208
5.84
199
12.78
157
6.94
138
8.55
127
5.29
139
11.60
118
3.98
116
7.19
102
6.78
82
2.56
162
4.15
157
14.74
177
13.08
149
14.04
163
22.34
184
SACVNettwo views9.25
159
6.26
162
5.53
157
7.03
160
6.84
171
6.20
147
8.12
174
11.27
154
8.92
189
10.91
143
8.15
138
8.41
97
2.65
129
2.75
156
13.58
166
7.59
151
10.24
151
7.84
180
15.65
150
9.54
189
12.27
175
10.56
146
2.52
159
5.28
175
18.56
192
13.47
154
15.80
174
13.78
145
gcap-zeroshottwo views9.36
160
4.03
76
9.94
190
7.02
159
2.55
124
6.68
155
2.60
138
12.40
166
1.56
99
15.01
196
10.71
167
15.63
163
2.08
102
0.85
96
10.87
132
11.68
207
9.82
144
5.83
148
31.35
208
12.27
208
11.52
165
13.14
197
2.55
161
2.78
133
9.18
120
15.85
171
10.96
134
13.81
146
GEStereo_RVCtwo views9.38
161
7.49
172
3.61
109
5.83
151
4.98
157
7.52
159
5.21
156
11.13
152
3.60
151
10.48
138
5.85
113
15.81
164
4.52
160
2.84
159
11.24
139
10.88
198
14.69
190
12.38
220
24.24
195
8.74
181
12.65
178
12.15
174
1.78
136
6.26
184
10.48
139
9.69
122
9.94
118
19.29
169
model_zeroshottwo views9.43
162
4.23
85
4.93
143
4.35
133
3.08
134
2.45
105
1.71
122
12.03
162
2.95
138
11.36
147
8.95
144
17.30
177
1.66
89
1.39
131
14.50
174
11.72
208
13.74
185
6.22
156
29.83
203
11.39
204
11.30
164
12.00
172
1.46
117
3.27
143
15.73
180
13.53
155
10.96
134
22.62
185
TRStereotwo views9.50
163
9.74
191
13.57
217
6.35
156
2.21
113
16.94
205
4.76
153
10.01
131
1.95
115
10.50
139
4.54
90
15.40
162
1.81
91
1.08
109
8.95
102
9.64
176
8.83
130
4.56
120
12.28
123
5.16
134
10.66
154
11.26
159
1.44
114
1.65
86
13.46
163
17.64
181
30.07
218
21.92
183
PS-NSSStwo views9.53
164
10.85
195
3.42
104
20.57
210
6.39
166
13.64
192
8.78
179
14.91
189
1.44
94
18.52
217
1.47
51
43.44
219
5.25
165
3.94
180
13.34
162
3.95
42
5.88
81
3.64
89
20.70
178
3.12
103
4.04
40
2.71
14
3.73
180
1.41
70
10.29
136
8.47
116
8.88
97
14.63
150
SGM-Foresttwo views9.58
165
9.29
189
2.59
89
18.35
204
10.02
187
10.70
181
3.35
141
12.48
167
1.90
112
8.92
117
3.64
79
18.20
182
12.28
196
4.54
188
11.29
140
6.82
136
6.82
97
3.29
82
9.93
104
4.19
121
9.26
138
7.88
111
3.40
174
4.38
163
17.36
190
11.77
140
25.82
211
20.12
173
Johannes L. Schönberger, Sudipta Sinha, Marc Pollefeys: Learning to Fuse Proposals from Multiple Scanline Optimizations in Semi-Global Matching. ECCV 2018
anonymitytwo views9.69
166
3.42
63
11.95
204
6.50
157
3.80
140
4.68
132
2.46
136
13.17
174
3.19
144
12.79
159
27.19
238
11.08
120
2.02
99
1.10
113
8.44
97
10.04
181
9.02
134
3.91
96
16.89
157
8.67
180
9.70
141
11.18
157
2.09
149
2.18
115
16.33
185
23.14
215
12.42
149
24.15
192
GANet-ADLtwo views9.77
167
7.48
171
5.69
160
7.53
165
7.28
173
9.31
170
4.57
151
10.78
147
5.64
168
13.06
164
9.66
152
18.66
184
4.43
159
0.84
92
13.53
164
7.96
158
12.00
172
5.53
143
18.08
162
10.92
200
9.92
144
9.70
133
3.19
171
4.74
169
11.66
148
17.16
178
15.68
173
18.72
166
stereogantwo views9.97
168
9.24
187
9.97
192
11.26
182
12.09
201
12.75
190
9.38
182
11.49
155
8.73
186
5.18
68
9.50
150
16.98
172
10.28
193
3.55
177
13.55
165
7.07
139
7.48
114
5.25
138
14.56
138
7.53
166
8.25
123
9.50
130
4.08
183
4.66
168
9.61
124
11.90
141
21.32
199
13.91
148
RTSCtwo views10.02
169
4.84
119
4.82
137
4.31
132
5.78
162
6.86
156
6.87
166
10.31
136
10.00
192
6.68
88
13.62
194
7.51
84
6.94
179
3.58
178
17.58
202
10.72
191
14.95
192
7.27
172
20.14
175
6.98
155
12.67
179
12.29
178
2.01
144
6.59
185
9.83
129
12.75
147
14.09
166
30.59
210
EKT-Stereotwo views10.24
170
7.17
169
5.94
163
9.87
176
4.82
154
9.94
174
10.43
190
10.27
134
2.51
130
10.11
134
10.21
158
14.40
156
2.06
101
1.15
118
14.49
172
10.68
190
12.93
179
10.86
208
20.47
176
7.18
160
19.38
223
14.00
206
1.22
96
2.48
127
19.15
196
19.25
189
13.14
154
12.25
131
IGEV_Zeroshot_testtwo views10.39
171
4.22
84
14.36
222
14.50
195
4.31
146
6.95
157
8.83
180
13.16
173
3.13
143
13.18
169
13.93
198
14.20
154
2.65
129
0.95
101
8.66
100
10.81
194
10.38
153
4.82
127
17.18
160
8.58
178
11.86
171
12.19
175
1.50
121
3.55
149
21.75
210
13.80
158
19.90
191
21.23
178
iRaft-Stereo_20wtwo views10.52
172
5.40
149
14.19
221
15.57
198
4.67
151
9.36
171
4.99
155
11.92
160
4.20
159
12.51
158
12.15
179
14.02
152
2.22
115
1.14
117
13.75
169
9.27
172
9.96
148
3.84
95
15.03
144
8.58
178
9.95
145
9.06
126
1.69
131
2.11
109
19.10
195
22.07
212
22.92
206
24.44
193
CASStwo views10.73
173
5.87
157
5.97
164
8.12
166
6.34
165
9.02
169
6.35
162
16.40
195
5.53
167
20.86
225
10.39
160
14.47
158
4.23
155
1.16
119
11.87
150
7.32
146
16.52
201
5.98
151
25.49
197
7.14
158
13.18
184
12.71
190
2.69
164
3.17
140
18.22
191
11.13
135
17.78
185
21.80
182
Junhong Min, Youngpil Jeon: Confidence-Aware Symmetric Stereo Matching via U-Net Transformer.
PA-Nettwo views10.74
174
17.75
219
13.56
216
5.06
140
12.17
202
5.23
139
12.43
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14.04
181
10.66
196
7.41
101
6.64
122
9.33
105
9.18
186
9.74
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15.66
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7.13
142
3.90
45
7.06
169
8.16
86
7.29
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5.38
65
11.79
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2.49
158
5.94
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12.26
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27.67
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8.77
96
33.34
215
Zhibo Rao, Mingyi He, Yuchao Dai, Zhelun Shen: Patch Attention Network with Generative Adversarial Model for Semi-Supervised Binocular Disparity Prediction.
NCCL2two views10.74
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9.59
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6.76
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6.43
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5.59
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4.75
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13.04
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7.69
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15.02
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8.38
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12.21
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4.62
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3.39
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17.27
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9.74
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9.72
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7.84
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13.20
130
7.46
164
14.25
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13.56
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5.13
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8.69
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20.35
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19.66
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15.21
168
20.93
176
NCC-stereotwo views10.84
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8.80
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7.84
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9.74
174
10.76
191
10.04
175
11.26
194
10.43
141
14.60
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2.40
34
13.57
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15.95
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13.25
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4.39
185
15.11
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6.42
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8.13
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10.48
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14.26
133
6.76
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8.14
119
8.78
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6.71
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4.56
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14.47
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17.12
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22.11
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16.50
159
Abc-Nettwo views10.84
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7.84
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9.74
174
10.76
191
10.04
175
11.26
194
10.43
141
14.60
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2.40
34
13.57
190
15.95
166
13.25
199
4.39
185
15.11
177
6.42
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8.13
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10.48
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14.26
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6.76
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8.14
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8.78
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6.71
207
4.56
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14.47
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17.12
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16.50
159
Xing Li, Yangyu Fan, Guoyun Lv, and Haoyue Ma: Area-based Correlation and Non-local Attention Network for Stereo Matching. The Visual Computer
UDGNettwo views10.85
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4.86
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0.60
38
43.69
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7.41
80
4.45
57
7.91
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5.71
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10.66
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5.56
136
9.99
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9.03
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15.58
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1.22
55
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9.89
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8.82
105
HSM-Net_RVCpermissivetwo views10.99
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5.68
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6.96
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13.05
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8.42
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8.83
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2.82
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12.04
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4.83
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14.66
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13.23
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25.14
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13.35
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1.41
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11.11
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6.65
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9.95
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6.02
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12.90
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5.69
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9.96
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11.57
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3.51
176
8.44
197
17.30
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20.20
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21.94
201
21.03
177
Gengshan Yang, Joshua Manela, Michael Happold, and Deva Ramanan: Hierarchical Deep Stereo Matching on High-resolution Images. CVPR 2019
ADCLtwo views11.20
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10.21
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7.45
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7.13
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5.61
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10.57
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11.51
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14.73
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15.22
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15.18
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5.42
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12.38
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8.19
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9.91
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6.67
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7.37
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15.04
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12.82
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19.33
170
FCDSN-DCtwo views11.81
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12.89
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10.42
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13.65
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1.83
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13.26
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14.11
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13.60
142
Dominik Hirner, Friedrich Fraundorfer: FCDSN-DC: An accurate but lightweight end-to-end trainable neural network for stereo estimation with depth completion.
Anonymous3two views12.15
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3.81
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1.91
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3.26
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7.97
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4.96
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14.34
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2.99
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12.93
133
AIO-Stereo-zeroshotpermissivetwo views12.21
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12.97
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13.74
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4.19
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16.13
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7.49
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11.58
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13.78
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3.41
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0.79
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11.68
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1.42
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19.32
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26.37
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13.46
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31.33
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XPNet_ROBtwo views12.48
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6.97
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6.26
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64
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49.07
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10.30
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10.97
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32.13
223
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179
GwcNet-ADLtwo views12.69
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29.90
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11.81
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16.89
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PSMNet-ADLtwo views13.18
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26.36
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2.74
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10.02
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25.66
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6.24
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NaN_ROBtwo views13.22
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16.63
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6.49
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9.21
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46.75
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4.38
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12.98
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6.19
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7.35
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12.32
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6.33
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7.37
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3.36
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10.15
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22.69
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20.88
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32.16
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NOSS_ROBtwo views13.23
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9.97
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5.36
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13.21
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11.47
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10.86
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7.28
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21.14
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7.42
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10.08
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12.92
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RGCtwo views13.27
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7.33
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5.78
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iResNettwo views13.33
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6.72
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36.69
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37.19
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0.95
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8.45
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31.04
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13.74
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FADNet_RVCtwo views13.70
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6.43
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5.90
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21.15
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7.50
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11.51
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35.21
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14.13
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18.69
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2.34
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8.32
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11.12
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20.05
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10.97
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19.38
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AIO-Stereo-zeroshot1permissivetwo views13.82
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7.14
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14.40
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11.74
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9.49
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23.27
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13.40
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13.46
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8.86
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17.03
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17.89
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3.59
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0.62
65
15.96
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13.33
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13.48
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8.18
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42.92
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6.54
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11.22
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11.11
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1.40
109
3.65
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20.48
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24.39
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15.83
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30.30
209
dadtwo views14.07
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1.70
71
31.65
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8.54
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17.15
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21.46
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25.28
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2.10
121
24.23
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1.51
52
36.94
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12.78
197
2.09
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11.90
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6.54
125
22.40
232
4.01
102
33.72
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2.72
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14.06
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6.32
68
2.33
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5.21
174
13.95
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3.92
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33.70
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25.88
196
DAStwo views14.90
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5.16
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15.37
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9.49
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12.52
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9.72
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16.64
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13.95
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7.17
96
16.64
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37.52
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15.30
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1.30
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16.26
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10.05
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20.90
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3.55
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20.85
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30.20
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SepStereotwo views14.90
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7.70
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5.16
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15.37
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9.49
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12.52
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9.72
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16.64
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13.95
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7.17
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37.52
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15.30
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1.30
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16.26
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10.05
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20.90
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22.54
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14.87
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3.55
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13.38
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20.90
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20.85
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30.20
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HBP-ISPtwo views15.08
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22.72
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16.09
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5.45
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10.93
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2.05
100
19.43
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13.01
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14.55
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9.51
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12.16
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18.96
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5.09
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ccs_robtwo views15.71
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8.22
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22.42
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9.73
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17.92
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14.54
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14.67
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24.69
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56.39
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32.25
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5.64
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15.15
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9.45
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17.67
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DDVStwo views15.73
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8.50
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28.51
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ITSA-stereotwo views15.98
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10.48
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5.94
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27.28
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CBMV_ROBtwo views16.48
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12.33
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19.84
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14.47
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9.10
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31.92
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10.73
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16.02
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8.77
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15.25
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7.67
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33.65
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ETE_ROBtwo views16.60
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7.42
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17.03
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9.51
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17.78
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57.81
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10.02
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43.28
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25.95
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LALA_ROBtwo views16.61
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18.43
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10.96
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10.40
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10.33
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17.80
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59.11
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24.28
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9.37
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19.78
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14.06
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18.39
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10.36
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4.90
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35.04
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CBMVpermissivetwo views16.66
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6.01
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39.61
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45.97
237
Konstantinos Batsos, Changjiang Cai, Philippos Mordohai: CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation. Computer Vision and Pattern Recognition (CVPR) 2018
SFCPSMtwo views17.05
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39.07
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6.35
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10.09
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36.54
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20.91
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14.61
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14.62
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6.76
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17.06
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25.86
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DCVSM-stereotwo views17.27
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26.03
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15.90
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49.10
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32.18
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4.92
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10.31
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13.40
182
7.02
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29.00
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16.90
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11.83
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18.84
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23.52
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RTStwo views17.41
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11.77
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7.25
98
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17.12
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10.07
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6.01
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20.43
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13.33
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21.22
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10.77
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38.12
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18.28
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17.65
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15.57
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4.97
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10.75
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31.93
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53.85
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RTSAtwo views17.41
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11.77
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7.25
98
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6.01
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10.77
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38.12
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4.97
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10.75
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28.24
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31.93
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53.85
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SHDtwo views17.57
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10.79
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10.40
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34.99
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13.11
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17.69
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16.32
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4.32
184
11.73
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21.48
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24.08
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21.64
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43.78
231
FC-DCNNcopylefttwo views17.73
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20.19
225
18.03
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30.37
224
19.92
222
27.05
222
25.25
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26.13
225
7.35
179
19.40
221
6.75
124
19.38
185
5.32
166
11.46
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190
15.84
238
21.02
227
14.33
226
19.07
168
10.53
197
19.75
226
12.74
191
5.01
191
17.59
228
25.46
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17.55
180
22.65
204
24.11
191
AnyNet_C32two views18.17
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8.92
185
9.87
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10.28
177
10.92
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15.03
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12.96
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23.42
218
22.93
230
18.12
215
22.88
232
24.16
193
10.50
194
9.86
216
24.55
240
15.10
233
24.19
240
17.27
236
31.38
209
12.16
207
27.02
244
25.99
248
9.09
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18.64
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24.55
223
17.72
184
27.38
204
pmcnntwo views18.34
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205
5.83
162
16.70
202
13.52
208
20.79
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14.02
207
16.07
193
6.77
175
9.33
120
18.76
219
36.51
210
33.00
228
1.60
143
15.32
181
12.25
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17.72
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11.15
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33.70
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215
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14.43
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10.31
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41.66
241
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239
FC-DCNN v2copylefttwo views18.38
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20.76
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18.46
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31.88
226
20.53
223
27.97
223
25.39
232
27.48
227
7.90
184
19.67
223
7.26
129
20.08
187
6.97
180
11.54
222
16.57
191
15.76
237
21.00
226
14.15
225
19.36
170
10.47
196
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12.66
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5.02
192
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GANetREF_RVCpermissivetwo views18.55
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14.14
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17.17
231
13.20
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11.24
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13.49
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11.55
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33.66
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223
27.62
241
6.10
119
50.38
231
26.73
214
3.29
170
18.41
207
7.61
152
12.32
175
10.64
204
31.95
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11.31
203
19.81
229
10.87
153
9.13
215
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24.23
218
15.91
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29.65
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30.80
211
Zhang, Feihu and Prisacariu, Victor and Yang, Ruigang and Torr, Philip HS: GA-Net: Guided Aggregation Net for End- to-end Stereo Matching. CVPR 2019
PWC_ROBbinarytwo views18.92
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12.47
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8.76
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13.18
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11.26
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18.27
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17.73
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8.62
114
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54.39
259
6.82
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17.19
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10.78
192
23.78
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13.40
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38.59
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17.67
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3.63
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16.55
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15.80
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15.50
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19.83
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45.69
236
MaskLacGwcNet_RVCtwo views19.53
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10.87
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13.46
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21.28
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13.56
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17.86
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22.33
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14.75
187
9.40
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11.86
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20.17
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78.28
270
25.50
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20.77
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14.13
171
10.97
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26.00
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16.62
232
33.78
218
12.07
206
17.87
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15.22
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6.23
204
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26.53
201
ADCMidtwo views19.62
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11.92
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14.54
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18.75
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26.87
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36.43
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24.17
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22.66
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12.85
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21.77
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12.28
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39.07
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13.51
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12.68
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23.95
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34.18
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ADCPNettwo views20.43
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15.74
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17.72
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16.04
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16.93
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23.61
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29.99
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22.34
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19.72
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25.92
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CSANtwo views21.28
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25.93
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18.78
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19.86
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17.32
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15.03
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10.51
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25.97
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29.48
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33.96
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50.64
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27.74
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5.17
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21.75
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6.52
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28.80
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ACV-stereotwo views21.68
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32.39
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20.70
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12.94
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MDST_ROBtwo views21.72
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32.34
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11.84
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47.88
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25.72
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40.53
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20.27
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19.03
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11.02
171
29.36
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39.35
240
2.30
153
19.77
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7.38
147
11.30
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4.69
125
16.39
153
7.96
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13.74
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8.94
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6.81
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42.52
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34.16
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53.23
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40.29
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CC-Net-ROBtwo views22.08
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37.39
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18.42
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54.08
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42.24
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44.20
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33.29
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28.75
230
6.94
176
35.53
250
9.92
155
67.83
259
7.19
182
17.81
232
16.99
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4.17
48
11.26
167
9.49
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39.61
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7.96
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7.08
99
5.32
48
12.54
225
3.51
145
18.56
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14.64
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13.82
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27.72
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MFN_U_SF_DS_RVCtwo views22.95
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20.90
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11.55
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29.26
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18.96
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23.36
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19.38
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38.11
246
24.66
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31.91
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14.96
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46.43
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35.87
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15.73
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23.09
234
11.55
206
11.18
165
7.96
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34.33
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9.44
187
17.18
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18.30
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15.56
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14.07
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32.27
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28.33
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33.38
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31.85
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DDUNettwo views23.05
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12.69
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44.85
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38.69
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45.17
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46.85
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11.53
156
13.03
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8.95
118
18.91
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22.04
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5.20
164
90.90
262
19.35
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12.53
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20.39
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10.22
198
30.58
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11.85
205
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17.81
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19.71
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6.99
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14.32
173
17.72
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16.36
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17.10
162
SGM_RVCbinarytwo views23.38
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26.36
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13.77
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40.24
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27.35
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36.85
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24.98
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27.67
228
17.34
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17.93
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18.78
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43.62
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38.79
238
2.91
161
17.39
199
6.83
137
13.64
184
7.15
170
31.82
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9.02
184
14.53
194
7.23
91
5.31
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13.15
216
37.65
244
30.48
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53.04
252
47.36
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Heiko Hirschmueller: Stereo processing by semiglobal matching and mutual information. TPAMI 2008, Volume 30(2), pp. 328-341
SGM-ForestMtwo views23.47
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26.74
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13.24
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39.14
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22.57
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36.42
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29.06
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14.27
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20.76
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50.21
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32.95
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4.52
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20.86
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7.46
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15.45
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6.98
167
30.40
205
9.01
183
14.78
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7.91
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5.88
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11.42
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42.08
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34.71
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51.07
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42.68
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FAT-Stereotwo views23.48
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14.23
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19.68
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37.30
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37.38
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28.76
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29.03
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35.11
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34.82
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20.86
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20.04
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35.77
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19.19
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14.56
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13.68
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20.61
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21.91
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30.56
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43.35
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FBW_ROBtwo views23.78
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26.04
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18.44
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42.85
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26.85
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33.38
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19.93
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15.06
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12.08
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14.49
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16.80
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44.76
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29.01
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20.43
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18.15
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7.99
159
19.77
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11.16
210
51.28
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7.86
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16.33
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11.26
159
19.31
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28.05
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21.21
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21.58
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33.31
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54.60
252
UDGtwo views24.16
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30.32
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13.18
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44.63
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41.05
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44.80
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51.49
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13.27
176
13.18
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14.08
181
21.60
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23.38
192
6.33
174
87.67
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19.21
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10.82
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22.67
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14.89
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32.39
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12.70
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20.59
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21.10
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15.54
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8.67
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17.20
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17.91
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17.60
183
15.92
157
XQCtwo views24.97
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26.08
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15.71
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32.23
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23.80
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33.92
232
31.17
236
37.46
243
29.30
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28.31
243
14.68
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42.33
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23.67
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19.66
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22.56
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13.39
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15.90
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12.10
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32.79
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17.16
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19.77
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20.24
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11.39
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32.61
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29.86
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43.19
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29.46
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G-Nettwo views26.81
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20.73
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18.95
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18.62
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17.00
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35.95
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16.25
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28.36
229
32.13
247
27.09
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33.69
253
63.17
251
25.97
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7.24
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23.36
236
16.51
240
23.38
236
17.63
238
45.27
236
33.88
255
25.90
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22.07
241
11.55
223
17.39
226
28.09
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29.38
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42.51
242
41.89
226
SANettwo views27.38
231
17.79
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19.79
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23.71
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20.56
224
30.81
227
18.53
217
34.53
237
31.31
243
16.71
209
30.20
248
78.17
269
42.30
246
18.09
234
23.87
237
10.78
192
21.57
230
16.37
231
31.56
211
15.93
222
20.09
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18.85
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27.75
250
19.29
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33.99
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30.68
238
36.64
234
49.31
241
ADCStwo views27.83
232
19.32
222
16.30
229
21.69
213
20.88
225
23.37
219
19.06
220
36.40
239
32.90
251
16.10
205
26.03
237
45.89
222
37.16
235
13.98
226
26.44
241
20.10
245
30.79
245
22.29
244
49.05
242
28.13
245
37.79
254
31.88
254
13.94
228
21.91
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30.44
232
33.99
247
31.39
222
44.25
232
DLNR_Zeroshot_testpermissivetwo views28.00
233
81.83
277
12.85
208
100.00
288
1.02
64
2.33
103
99.01
288
12.59
168
1.00
73
13.13
168
5.89
114
12.81
138
2.24
117
24.07
243
96.86
287
100.00
292
33.19
247
28.64
252
28.87
201
5.88
140
13.67
188
12.70
189
1.19
87
4.14
155
14.30
172
10.34
129
18.43
188
18.93
167
S-Stereotwo views28.49
234
17.37
218
15.43
227
40.83
235
38.64
242
40.62
239
37.78
240
22.77
215
22.83
228
17.31
213
45.47
257
53.22
234
36.27
234
14.79
229
22.10
227
14.06
230
19.83
220
25.83
250
38.63
229
24.70
239
18.21
218
19.97
235
54.41
258
21.98
240
20.99
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19.86
199
23.90
209
41.45
224
MeshStereopermissivetwo views29.29
235
28.48
239
17.50
232
49.31
245
37.64
240
38.86
237
26.38
233
34.68
238
25.28
232
22.00
230
22.68
231
54.80
235
48.74
252
5.16
191
20.51
222
13.21
220
18.28
213
11.54
212
31.54
210
15.46
219
27.03
245
22.62
244
21.18
243
19.65
235
41.00
247
34.21
249
52.39
251
50.76
244
C. Zhang, Z. Li, Y. Cheng, R. Cai, H. Chao, Y. Rui: MeshStereo: A Global Stereo Model with Mesh Alignment Regularization for View Interpolation. ICCV 2015
MFN_U_SF_RVCtwo views29.69
236
27.88
238
16.68
230
33.60
229
26.24
232
33.24
230
28.25
235
38.11
246
22.90
229
45.82
264
29.89
247
50.07
229
33.98
230
22.28
242
31.33
248
17.67
243
14.74
191
15.63
229
53.43
245
25.34
241
24.20
240
26.62
249
11.50
222
25.26
244
34.11
237
25.01
225
37.25
235
50.62
243
DPSNettwo views29.94
237
15.20
214
15.31
226
25.05
221
23.57
228
32.31
228
15.43
208
20.67
209
22.46
227
8.50
112
12.81
183
89.35
285
46.22
249
5.71
198
22.68
232
18.09
244
33.82
248
29.02
254
69.20
259
20.89
234
22.57
236
22.52
243
40.62
254
26.74
247
44.25
251
32.68
245
40.45
239
52.25
246
edge stereotwo views30.14
238
20.48
226
20.64
243
41.50
236
37.71
241
43.46
242
39.90
242
38.76
248
22.37
226
16.34
207
39.71
256
60.99
242
37.64
237
25.20
244
20.79
223
14.57
232
26.94
242
15.51
228
44.97
235
19.77
233
20.56
232
18.66
231
22.07
245
18.93
232
29.16
231
24.24
221
39.24
236
53.57
249
AnyNet_C01two views30.96
239
19.98
224
15.05
225
20.75
211
25.62
230
22.63
216
22.12
226
36.40
239
39.01
258
21.35
228
28.46
240
49.12
228
35.02
232
15.04
230
33.17
250
22.88
250
39.72
255
34.61
257
58.76
248
31.24
250
41.17
260
34.42
259
21.99
244
22.02
241
35.89
240
31.50
240
32.61
224
45.45
235
LE_ROBtwo views31.15
240
25.04
231
23.08
245
44.74
239
47.74
252
42.26
241
47.65
248
38.05
245
26.35
234
14.92
195
27.39
239
62.93
249
54.33
258
3.38
172
17.61
203
6.00
107
12.02
173
7.50
177
34.45
220
15.08
218
17.26
211
13.21
198
10.73
219
30.38
253
45.10
254
45.00
258
62.10
261
66.75
270
DGSMNettwo views32.74
241
26.21
235
21.38
244
37.73
231
29.95
236
34.84
233
34.23
238
24.66
221
19.43
221
24.88
235
51.24
262
46.06
223
28.65
218
22.25
241
26.57
242
20.94
247
51.66
264
29.84
255
62.26
253
33.85
254
40.29
259
41.12
268
24.30
248
29.99
252
26.34
222
26.33
226
31.13
221
37.73
220
MSC_U_SF_DS_RVCtwo views34.01
242
36.70
246
37.14
255
47.25
242
28.07
235
29.43
226
27.43
234
50.80
259
47.52
261
40.20
256
25.09
236
39.01
215
33.39
229
29.53
246
37.84
254
26.40
253
16.84
202
21.78
243
61.43
251
33.78
253
24.58
241
30.08
253
26.57
249
36.04
257
35.11
239
26.89
228
29.05
216
40.29
222
SQANettwo views34.13
243
52.91
254
20.04
241
71.73
258
51.83
254
73.91
259
75.37
258
25.76
223
12.05
197
32.09
248
15.31
203
60.15
240
16.08
204
90.79
261
18.73
209
7.66
153
18.79
214
16.14
230
45.27
236
12.63
210
12.03
173
11.79
169
57.69
259
8.12
192
22.24
212
23.24
217
26.50
215
42.59
228
STStereotwo views35.13
244
45.56
251
34.03
252
61.63
254
49.92
253
54.32
250
44.81
244
36.44
241
33.47
252
25.69
237
29.35
245
63.16
250
52.17
257
12.19
223
23.27
235
9.47
175
17.21
204
8.59
185
47.67
239
16.58
223
19.55
225
18.29
229
10.00
217
24.09
242
50.84
256
44.22
257
62.57
262
53.51
248
MANEtwo views36.94
245
36.29
244
31.03
250
57.02
249
46.19
249
46.08
247
45.02
245
43.11
255
29.92
242
23.17
232
29.68
246
55.69
236
39.74
241
18.06
233
29.18
246
23.46
252
29.40
243
42.51
264
38.74
230
16.68
224
30.43
249
19.45
234
9.50
216
26.64
246
54.34
261
45.68
261
66.46
267
63.84
263
PVDtwo views37.79
246
34.98
243
20.39
242
46.52
241
34.64
238
49.92
248
37.87
241
40.06
251
38.35
257
15.54
201
28.87
243
51.49
233
50.85
254
49.22
250
24.31
239
17.44
242
37.87
254
22.43
245
50.09
243
27.13
242
38.96
255
40.93
267
19.99
241
24.74
243
44.82
253
60.36
274
46.84
247
65.68
269
SAMSARAtwo views38.96
247
15.52
215
37.69
256
18.97
207
18.01
218
18.96
211
18.57
218
44.44
256
36.55
256
28.79
244
18.57
217
28.75
202
47.14
250
14.57
228
33.04
249
30.30
255
23.15
234
25.75
249
47.67
239
27.36
243
48.65
272
52.46
276
7.08
212
29.16
250
96.17
289
97.88
290
95.26
289
91.51
288
BEATNet-Init1two views39.35
248
44.24
249
28.05
249
61.07
253
43.47
246
54.25
249
45.22
246
41.94
254
32.65
249
31.62
246
24.73
235
61.60
244
56.77
262
14.31
227
34.72
252
23.29
251
23.20
235
17.10
235
58.99
249
32.22
252
29.52
248
24.55
247
18.61
235
29.96
251
50.77
255
41.66
254
73.70
278
64.28
264
ELAScopylefttwo views39.51
249
44.81
250
36.19
253
58.45
252
46.13
248
54.45
251
50.25
250
40.44
252
31.78
246
26.02
238
32.54
251
65.46
254
42.57
247
21.53
239
27.48
244
21.05
248
35.00
249
22.52
246
45.69
238
24.31
238
35.29
251
28.06
250
19.96
240
31.99
254
53.74
260
45.14
259
63.62
264
62.25
258
A. Geiger, M. Roser, R. Urtasun: Efficient large-scale stereo matching. ACCV 2010
ELAS_RVCcopylefttwo views39.74
250
44.04
248
36.66
254
58.11
251
45.19
247
56.14
252
49.43
249
39.73
250
29.65
240
26.32
239
34.68
254
71.94
264
42.73
248
22.07
240
28.13
245
21.12
249
35.53
250
23.10
248
44.80
234
24.70
239
36.32
253
28.59
251
19.83
239
33.58
255
51.38
257
43.13
256
64.47
265
61.73
256
A. Geiger, M. Roser, R. Urtasun: Efficient large-scale stereo matching. ACCV 2010
DispFullNettwo views40.74
251
50.99
253
26.61
247
65.46
256
47.50
251
60.25
255
71.20
257
32.04
234
27.03
236
21.32
227
20.18
225
68.40
260
50.11
253
93.54
264
22.55
229
20.81
246
50.95
263
35.07
258
69.93
261
28.39
246
27.82
246
23.29
245
21.06
242
21.07
237
29.02
230
21.57
209
35.78
232
58.02
254
LSM0two views42.23
252
24.61
230
13.03
211
39.60
233
30.36
237
41.09
240
36.86
239
50.93
260
34.46
253
45.43
262
47.31
258
62.89
247
55.30
260
11.42
220
85.06
284
89.52
285
36.40
252
22.93
247
70.55
262
35.66
256
45.79
265
37.51
262
17.27
234
25.84
245
40.26
245
36.04
251
52.30
250
51.85
245
otakutwo views42.53
253
60.76
258
26.12
246
85.54
273
70.60
263
84.54
275
93.44
277
37.69
244
31.70
245
39.26
255
20.97
229
60.57
241
26.89
215
95.02
265
27.13
243
12.84
216
20.60
223
16.82
233
65.55
255
27.44
244
15.74
202
13.40
201
58.61
260
19.88
236
34.37
238
23.17
216
34.71
229
44.82
233
Ntrotwo views44.96
254
61.36
260
27.27
248
85.34
272
71.49
264
84.40
274
94.06
278
47.80
257
36.31
255
40.39
257
33.41
252
65.57
256
23.58
209
95.42
266
29.82
247
13.96
229
23.52
238
17.09
234
66.20
256
31.33
251
17.22
210
13.73
203
60.12
261
21.16
238
36.19
242
31.98
243
40.20
238
45.09
234
ACVNet-4btwo views46.06
255
60.90
259
32.92
251
90.00
279
76.09
272
84.67
276
96.68
284
33.82
236
32.59
248
41.20
258
17.24
212
80.20
272
32.09
223
96.24
272
37.08
253
28.08
254
33.12
246
20.43
242
55.56
246
37.90
257
13.41
185
12.52
183
63.49
269
19.04
233
36.12
241
28.81
231
41.44
240
41.92
227
AMNettwo views47.83
256
50.28
252
48.32
259
49.27
244
46.57
250
59.06
254
53.92
252
21.22
213
35.36
254
31.59
245
66.41
271
69.82
262
12.21
195
54.08
253
44.47
255
55.40
269
56.24
268
57.04
277
48.21
241
48.59
259
56.86
277
49.60
273
11.74
224
47.76
260
44.74
252
51.79
268
57.49
257
63.38
262
ACVNet_1two views49.61
257
64.75
261
40.30
257
86.63
275
72.69
265
85.53
278
95.02
279
58.49
264
29.66
241
43.47
261
50.49
261
66.34
258
57.87
263
95.90
268
34.54
251
15.19
235
37.38
253
28.28
251
57.74
247
31.14
249
27.97
247
20.60
237
63.71
270
28.64
249
43.64
250
29.72
235
35.84
233
38.01
221
RainbowNettwo views54.35
258
67.68
262
45.83
258
91.40
280
75.14
270
90.62
285
95.07
280
39.32
249
32.73
250
45.43
262
31.22
250
72.72
265
57.93
264
96.79
275
69.96
269
46.59
264
35.94
251
30.28
256
78.27
273
55.58
265
23.73
239
16.75
222
65.53
271
33.78
256
40.70
246
33.59
246
45.00
245
49.95
242
MADNet+two views54.49
259
36.29
244
65.28
277
55.46
248
52.71
255
44.78
244
41.01
243
61.36
266
51.38
263
53.83
267
37.45
255
76.28
268
63.97
266
33.78
247
63.96
267
50.01
266
54.97
267
50.48
269
69.76
260
52.44
261
48.80
273
42.65
269
51.91
257
47.05
259
75.18
278
70.10
278
57.84
258
62.60
261
SPS-STEREOcopylefttwo views56.82
260
55.71
256
52.37
262
54.64
247
54.16
256
62.84
257
55.13
253
37.37
242
53.33
264
41.27
259
72.52
276
68.62
261
51.40
255
53.51
252
57.00
262
56.39
272
64.80
279
60.94
281
67.98
257
65.36
274
72.37
285
62.46
282
22.85
246
53.74
266
53.29
259
57.11
272
64.68
266
62.29
259
K. Yamaguchi, D. McAllester, R. Urtasun: Efficient Joint Segmentation, Occlusion Labeling, Stereo and Flow Estimation. ECCV 2014
JetBluetwo views57.10
261
54.08
255
62.43
273
61.97
255
58.30
258
62.31
256
61.16
254
51.95
261
74.31
274
46.01
265
28.78
242
88.78
284
39.88
242
51.67
251
46.67
257
44.36
262
61.07
272
52.35
271
60.70
250
51.51
260
54.26
275
58.95
278
68.18
273
55.39
268
54.92
262
47.82
263
72.43
274
71.46
273
SGM+DAISYtwo views57.17
262
56.10
257
53.57
263
57.66
250
54.81
257
66.87
258
62.17
255
41.35
253
46.50
260
41.67
260
74.58
277
65.22
252
55.77
261
55.63
255
59.11
266
56.13
270
64.44
278
58.92
280
64.63
254
60.40
270
66.26
281
59.91
279
29.65
253
50.56
262
53.16
258
55.58
270
67.40
268
65.61
268
ACVNet_2two views59.14
263
74.57
264
58.41
269
88.79
276
81.19
275
87.39
282
96.11
282
66.30
268
42.46
259
52.85
266
49.00
259
79.04
271
70.67
269
96.49
273
54.14
261
40.62
259
41.93
256
28.82
253
77.71
270
42.88
258
33.06
250
24.05
246
62.12
262
53.57
265
55.32
263
32.47
244
51.92
249
54.99
253
IMH-64-1two views61.05
264
75.17
265
52.05
260
80.74
261
74.47
267
80.23
265
84.86
263
77.30
272
64.62
266
37.02
251
59.82
264
62.46
245
80.47
280
96.83
277
53.09
259
41.27
260
49.54
259
35.71
260
72.68
264
54.81
263
39.90
256
32.50
255
62.43
263
50.78
263
67.42
271
39.74
252
57.43
255
65.04
266
IMH-64two views61.05
264
75.17
265
52.05
260
80.74
261
74.47
267
80.23
265
84.86
263
77.30
272
64.62
266
37.02
251
59.82
264
62.46
245
80.47
280
96.83
277
53.09
259
41.27
260
49.54
259
35.71
260
72.68
264
54.81
263
39.90
256
32.50
255
62.43
263
50.78
263
67.42
271
39.74
252
57.43
255
65.04
266
WAO-7two views61.94
266
71.56
263
62.05
272
65.75
257
69.41
261
56.14
252
62.30
256
81.67
279
78.25
277
59.05
271
70.90
273
65.32
253
71.06
270
54.89
254
84.81
283
76.94
282
44.67
257
35.13
259
80.44
278
69.59
279
43.32
263
33.82
258
15.00
229
80.05
286
55.99
264
65.94
277
56.44
254
61.89
257
IMHtwo views63.17
267
76.33
268
54.19
265
81.33
263
74.21
266
82.68
269
84.99
265
77.65
274
66.35
269
38.15
254
59.93
266
66.09
257
82.64
283
96.82
276
57.26
263
45.43
263
50.76
262
36.87
262
75.77
268
59.41
269
39.97
258
32.67
257
62.53
265
54.62
267
71.08
274
48.54
264
61.52
260
67.92
272
PSMNet_ROBtwo views63.62
268
80.93
276
61.11
271
82.06
266
75.91
271
85.66
279
87.87
270
55.78
263
75.75
275
71.00
277
64.08
269
73.73
267
72.13
273
95.50
267
58.85
265
37.29
257
53.04
265
39.79
263
73.04
266
65.57
275
41.57
262
29.13
252
63.35
268
48.54
261
63.40
269
42.46
255
73.36
276
46.75
238
TorneroNet-64two views63.98
269
75.57
267
57.45
268
83.07
268
63.84
259
75.22
260
83.83
262
60.34
265
69.07
272
56.60
269
49.28
260
86.93
279
71.27
272
96.71
274
67.67
268
51.38
267
48.22
258
46.78
266
77.34
269
58.81
268
35.85
252
36.77
261
74.57
275
55.54
269
59.56
266
51.37
267
61.32
259
73.21
276
TorneroNettwo views66.86
270
77.92
269
64.47
275
86.31
274
69.64
262
77.67
261
87.13
269
62.93
267
69.96
273
65.69
274
55.78
263
86.74
278
68.24
267
96.86
279
71.17
270
51.97
268
49.62
261
51.28
270
78.97
274
62.59
272
41.20
261
43.42
270
76.92
277
56.82
270
60.62
267
49.22
265
70.01
272
71.97
274
PWCKtwo views68.06
271
90.32
287
62.85
274
92.90
283
74.77
269
85.41
277
76.65
259
74.89
271
65.35
268
71.52
278
69.97
272
81.47
273
71.14
271
71.79
258
46.18
256
38.78
258
68.69
281
46.54
265
93.69
286
65.23
273
57.46
278
44.21
271
79.49
278
69.69
278
65.76
270
45.15
260
63.32
263
64.29
265
WAO-6two views68.18
272
78.62
271
60.45
270
81.47
264
80.21
274
78.03
262
86.47
268
81.52
278
68.87
271
68.29
276
71.35
275
61.49
243
84.91
284
95.96
269
78.72
276
62.22
274
53.84
266
48.88
267
68.32
258
58.39
267
56.45
276
52.29
275
50.11
256
58.70
271
72.40
275
47.10
262
68.20
269
67.47
271
LRCNet_RVCtwo views69.74
273
79.46
273
53.69
264
96.11
286
97.26
288
94.74
287
90.34
271
72.38
270
49.04
262
99.83
290
80.72
281
96.25
290
77.47
277
98.06
287
48.64
258
32.44
256
80.71
286
66.45
283
96.37
287
73.47
280
48.44
269
39.97
265
96.08
287
64.40
274
37.45
243
24.93
224
46.64
246
41.61
225
MFMNet_retwo views70.27
274
82.01
278
76.70
283
77.50
259
69.21
260
82.82
270
76.83
260
52.08
262
54.81
265
54.70
268
71.11
274
73.65
266
51.71
256
66.06
256
82.43
282
83.60
284
80.08
285
78.18
285
72.22
263
69.01
278
75.33
286
74.67
284
46.87
255
60.21
272
61.36
268
63.27
276
73.39
277
87.35
287
LVEtwo views70.38
275
79.61
274
68.21
278
93.13
284
87.94
279
82.93
271
96.82
286
84.07
282
66.67
270
72.97
279
77.65
279
62.91
248
87.99
287
97.67
285
57.99
264
47.05
265
56.55
269
54.10
274
81.20
279
62.03
271
46.12
268
40.51
266
79.82
279
70.89
280
69.16
273
49.89
266
72.97
275
53.29
247
notakertwo views72.10
276
79.09
272
56.44
267
85.07
271
83.21
276
82.55
268
91.79
274
87.64
285
82.49
284
60.50
272
86.23
283
71.48
263
80.31
279
96.91
280
79.38
277
62.10
273
62.46
276
50.18
268
82.33
280
67.72
277
53.81
274
48.46
272
74.10
274
68.81
277
58.80
265
54.11
269
68.79
271
71.97
274
ktntwo views74.27
277
80.09
275
54.40
266
81.87
265
88.84
281
79.49
264
90.90
272
90.82
287
91.54
285
57.18
270
91.65
287
65.50
255
68.85
268
97.45
283
76.39
273
65.35
276
66.98
280
57.15
278
79.45
276
66.06
276
62.65
280
60.72
281
67.84
272
66.33
275
75.83
281
62.37
275
78.26
283
81.20
284
WAO-8two views74.52
278
84.05
281
73.61
281
89.74
277
89.50
283
89.28
283
92.75
275
80.78
276
78.43
278
76.10
281
62.95
267
83.35
274
72.81
274
96.06
270
79.78
279
69.03
279
61.26
273
52.86
272
77.93
271
77.15
283
48.50
270
37.70
263
62.77
266
73.06
281
75.75
279
70.20
279
78.12
281
78.55
279
Venustwo views74.52
278
84.05
281
73.61
281
89.79
278
89.50
283
89.28
283
92.75
275
80.78
276
78.43
278
76.10
281
62.95
267
83.35
274
72.81
274
96.06
270
79.78
279
69.03
279
61.26
273
52.86
272
77.93
271
77.15
283
48.50
270
37.70
263
62.77
266
73.06
281
75.75
279
70.20
279
78.12
281
78.55
279
UNDER WATER-64two views76.24
280
82.20
279
72.56
279
91.75
281
87.39
278
85.91
280
96.79
285
83.59
280
77.05
276
79.27
283
85.20
282
87.22
280
77.06
276
97.41
282
74.25
271
56.13
270
62.80
277
56.62
276
74.95
267
54.04
262
46.06
267
53.11
277
90.69
284
73.40
283
78.25
284
81.35
285
68.54
270
84.99
286
UNDER WATERtwo views76.47
281
84.86
284
73.17
280
92.09
282
84.39
277
85.98
281
95.08
281
80.50
275
78.58
280
76.05
280
77.21
278
88.36
282
78.28
278
97.23
281
79.68
278
64.18
275
62.42
275
56.61
275
79.02
275
57.51
266
45.78
264
49.93
274
87.98
283
76.69
285
77.47
282
79.88
283
71.14
273
84.72
285
Deantwo views78.10
282
84.07
283
77.79
284
97.36
287
96.41
287
97.23
288
97.23
287
85.94
284
82.02
282
89.02
285
78.94
280
89.52
286
86.62
285
98.39
288
78.24
275
66.19
277
59.02
271
58.04
279
91.39
284
80.44
286
46.00
266
34.43
260
80.10
280
75.71
284
74.91
276
56.61
271
85.57
286
61.37
255
HanzoNettwo views79.67
283
82.95
280
64.80
276
84.96
270
88.06
280
83.31
272
90.90
272
93.49
288
91.90
287
61.69
273
89.44
285
83.67
276
87.05
286
98.05
286
75.40
272
66.41
278
75.66
282
73.33
284
87.74
282
75.19
281
71.87
283
71.17
283
75.44
276
68.47
276
77.89
283
71.87
281
79.93
284
80.34
282
JetRedtwo views79.74
284
84.86
284
84.75
286
83.33
269
79.63
273
84.29
273
86.00
267
83.83
281
82.27
283
68.23
275
65.65
270
91.60
287
40.25
243
78.81
259
82.00
281
82.38
283
79.66
284
86.71
289
80.09
277
75.66
282
89.92
287
87.35
286
87.58
282
70.70
279
75.09
277
80.20
284
82.83
285
79.20
281
KSHMRtwo views85.25
285
95.47
288
88.23
287
95.51
285
93.44
286
93.00
286
96.39
283
88.80
286
81.10
281
87.36
284
90.72
286
84.93
277
80.59
282
97.47
284
94.10
285
89.78
286
75.93
283
78.41
286
88.41
283
85.57
287
68.86
282
60.56
280
91.20
285
85.71
287
80.53
285
75.42
282
75.94
279
78.30
277
MADNet++two views89.62
286
89.02
286
93.74
289
82.65
267
93.38
285
79.29
263
85.77
266
84.10
283
91.85
286
96.66
287
97.66
288
87.95
281
93.41
288
67.66
257
95.69
286
98.91
288
94.93
288
85.95
287
92.39
285
97.70
288
96.25
289
98.23
289
84.22
281
96.79
288
80.90
286
87.45
287
86.71
287
80.38
283
PMLtwo views97.97
287
100.00
292
89.93
288
100.00
288
100.00
289
100.00
289
99.54
289
100.00
292
99.69
290
100.00
291
98.27
289
99.94
292
100.00
293
99.54
289
97.52
288
96.07
287
93.74
287
86.07
288
100.00
291
99.13
290
96.78
290
93.32
287
99.00
288
99.26
290
97.52
291
99.99
292
100.00
292
99.98
292
MEDIAN_ROBtwo views98.43
288
99.54
289
99.16
290
100.00
288
100.00
289
100.00
289
100.00
290
99.70
291
99.01
289
100.00
291
99.99
292
98.84
291
97.69
289
99.96
290
99.68
289
99.02
289
99.14
289
99.20
290
99.95
290
98.84
289
95.69
288
97.89
288
100.00
289
98.43
289
90.88
287
94.63
288
93.09
288
97.19
290
AVERAGE_ROBtwo views99.48
289
100.00
292
99.91
292
100.00
288
100.00
289
100.00
289
100.00
290
100.00
292
100.00
292
100.00
291
100.00
293
100.00
293
100.00
293
100.00
291
99.90
291
99.93
291
100.00
293
100.00
294
100.00
291
100.00
291
99.13
292
99.79
291
100.00
289
100.00
292
96.67
290
96.93
289
97.20
291
96.60
289
HaxPigtwo views99.51
290
100.00
292
99.60
291
100.00
288
100.00
289
100.00
289
100.00
290
100.00
292
99.98
291
100.00
291
100.00
293
100.00
293
99.98
292
100.00
291
99.78
290
99.77
290
99.99
292
99.81
291
100.00
291
100.00
291
98.91
291
98.48
290
100.00
289
99.99
291
94.94
288
99.72
291
96.77
290
99.19
291
DPSMNet_ROBtwo views99.77
291
99.92
290
100.00
293
100.00
288
100.00
289
100.00
289
100.00
290
99.68
289
100.00
292
99.55
288
99.83
290
95.84
289
99.58
291
100.00
291
99.97
292
100.00
292
99.97
290
99.99
292
99.86
289
100.00
291
99.87
293
99.81
292
100.00
289
100.00
292
100.00
292
100.00
293
100.00
292
100.00
293
DGTPSM_ROBtwo views99.77
291
99.92
290
100.00
293
100.00
288
100.00
289
100.00
289
100.00
290
99.68
289
100.00
292
99.55
288
99.83
290
95.82
288
99.57
290
100.00
291
99.97
292
100.00
292
99.97
290
99.99
292
99.82
288
100.00
291
99.87
293
99.81
292
100.00
289
100.00
292
100.00
292
100.00
293
100.00
292
100.00
293
CasAABBNettwo views100.00
293
100.00
292
100.00
293
100.00
288
100.00
289
100.00
289
100.00
290
100.00
292
100.00
292
100.00
291
100.00
293
100.00
293
100.00
293
100.00
291
100.00
294
100.00
292
100.00
293
100.00
294
100.00
291
100.00
291
100.00
295
100.00
294
100.00
289
100.00
292
100.00
292
100.00
293
100.00
292
100.00
293
DPSM_ROBtwo views100.00
293
100.00
292
100.00
293
100.00
288
100.00
289
100.00
289
100.00
290
100.00
292
100.00
292
100.00
291
100.00
293
100.00
293
100.00
293
100.00
291
100.00
294
100.00
292
100.00
293
100.00
294
100.00
291
100.00
291
100.00
295
100.00
294
100.00
289
100.00
292
100.00
292
100.00
293
100.00
292
100.00
293
DPSMtwo views100.00
293
100.00
292
100.00
293
100.00
288
100.00
289
100.00
289
100.00
290
100.00
292
100.00
292
100.00
291
100.00
293
100.00
293
100.00
293
100.00
291
100.00
294
100.00
292
100.00
293
100.00
294
100.00
291
100.00
291
100.00
295
100.00
294
100.00
289
100.00
292
100.00
292
100.00
293
100.00
292
100.00
293
STTRV1_RVCtwo views19.97
223
10.67
196
33.47
228
19.16
221
29.14
225
22.50
228
30.89
233
29.30
237
24.44
234
23.80
233
42.62
218
41.42
244
47.96
249
12.08
212
57.30
270
13.89
223
29.86
248
59.34
279
42.07
258
27.16
223
57.60
273
35.14
231
62.45
260
DPSimNet_ROBtwo views78.09
270
80.48
285
79.44
260
89.46
282
80.69
267
81.30
261
70.52
269
95.56
288
96.19
286
86.61
284
88.60
283
60.42
265
93.22
263
77.85
274
70.57
281
65.68
282
83.41
281
78.36
285
72.32
284
79.68
285
91.44
286
62.45
273
83.11
286
77.62
280
78.51
278