Results for GANetREF_RVC
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 | botani. | boulde. | bridge | door | exhibi. | lectur. | living. | lounge | observ. | old co. | statue | terrac. |
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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 |
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No results yet. |