Results for AdaColmap
Submission data
| Full name | Adaptive stereo matching method guided by learning |
| Description | Our approach is designed to reduce the time required for matching. First, the label of each pixel is learned by CNN. Then we determines whether the pixel should be matched and the matching parameters according to the label to reduce the time required for matching. |
| Programming language(s) | C++ with CUDA |
| Hardware | GeForce GTX 2080ti |
| Submission creation date | 29 Aug, 2019 |
| Last edited | 29 Aug, 2019 |
High-res multi-view results
| Info | all | high-res multi-view | indoor | outdoor | botani. | boulde. | bridge | door | exhibi. | lectur. | living. | lounge | observ. | old co. | statue | terrac. |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
 | 80.58 | 79.42 | 84.06 | 93.09 | 68.91 | 89.36 | 88.97 | 69.27 | 75.70 | 89.69 | 57.20 | 95.77 | 63.06 | 88.41 | 87.50 |
Low-res many-view results
| Info | all | low-res many-view | indoor | outdoor | delivery area | electro | forest | playground | terrains |
|---|---|---|---|---|---|---|---|---|---|
| No results yet. | |||||||||
Low-res two-view results
SLAM results
| all | boxes | boxes dark | buddha | cables 4 | cables 5 | desk 1 | desk 2 | desk changing 2 | desk dark 1 | desk dark 2 | desk global light changes | desk ir light | dino | drone | foreground occlusion | helmet | kidnap 2 | lamp | large loop 2 | large loop 3 | large non loop | motion 2 | motion 3 | motion 4 | planar 1 | reflective 2 | scale change | table 1 | table 2 | table 5 | table 6 | table global light changes | table local light changes | table scene | trashbin | |||
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