Result details - ETH3D

Submitted by Nicolas Jourdan.

Submission data

Full name	GANet reference submission for robust vision challenge
Description	GANet reference submission as baseline for the stereo benchmark of the robust vision challenge 2020. All method credits go to the original author (Zhang et al.) We are formulating traditional geometric and optimization of stereo into deep neural networks.
Parameters	Trained on Middleburry, KITTI, ETH3D from the KITTI checkpoint made available in the GANet repository on Github by the original authors. Frequency of sampling was adapted to the dataset size. Test images scaled to next multiple of 48.
Publication title	GA-Net: Guided Aggregation Net for End- to-end Stereo Matching
Publication authors	Zhang, Feihu and Prisacariu, Victor and Yang, Ruigang and Torr, Philip HS
Publication venue	CVPR 2019
Publication URL	https://github.com/feihuzhang/GANet
Programming language(s)	Python (PyTorch), CUDA
Hardware	Intel Core I9-9920X, Nvidia Quadro RTX 8000
Website	https://github.com/feihuzhang/GANet
Source code or download URL	https://github.com/feihuzhang/GANet
Submission creation date	17 Jul, 2020
Last edited	17 Jul, 2020

High-res multi-view results

Info	all	high-res multi-view	indoor	outdoor	courty.	delive.	electro	facade	kicker	meadow	office	pipes	playgr.	relief	relief.	terrace	terrai.
No results yet.

Low-res many-view results

Info	all	low-res many-view	indoor	outdoor	lakeside	sand box	storage room	storage room 2	tunnel
No results yet.

Low-res two-view results

Info	all	deliv. area 1l	deliv. area 1s	deliv. area 2l	deliv. area 2s	deliv. area 3l	deliv. area 3s	elect. 1l	elect. 1s	elect. 2l	elect. 2s	elect. 3l	elect. 3s	facade 1s	forest 1s	forest 2s	playg. 1l	playg. 1s	playg. 2l	playg. 2s	playg. 3l	playg. 3s	terra. 1s	terra. 2s	terra. 1l	terra. 1s	terra. 2l	terra. 2s
	0.61	0.56	0.58	0.56	0.52	0.55	0.52	0.85	0.63	0.78	0.44	1.00	0.63	0.34	0.62	0.44	0.53	0.51	0.85	0.51	0.63	0.48	0.48	0.59	0.71	0.65	0.81	0.79

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
	Method	Info
No results yet.