Submitted by Nicolas Jourdan.

Submission data

Full nameGANet reference submission for robust vision challenge
DescriptionGANet 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.
ParametersTrained 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 titleGA-Net: Guided Aggregation Net for End- to-end Stereo Matching
Publication authorsZhang, Feihu and Prisacariu, Victor and Yang, Ruigang and Torr, Philip HS
Publication venueCVPR 2019
Publication URLhttps://github.com/feihuzhang/GANet
Programming language(s)Python (PyTorch), CUDA
HardwareIntel Core I9-9920X, Nvidia Quadro RTX 8000
Websitehttps://github.com/feihuzhang/GANet
Source code or download URLhttps://github.com/feihuzhang/GANet
Submission creation date17 Jul, 2020
Last edited17 Jul, 2020

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Infoalllakes. 1llakes. 1ssand box 1lsand box 1sstora. room 1lstora. room 1sstora. room 2lstora. room 2sstora. room 2 1lstora. room 2 1sstora. room 2 2lstora. room 2 2sstora. room 3lstora. room 3stunnel 1ltunnel 1stunnel 2ltunnel 2stunnel 3ltunnel 3s
permissivetwo views3.201.9318.841.510.804.121.824.162.911.871.742.481.8413.181.740.800.570.790.741.200.86

SLAM results



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