Stereo Matching on Middlebury half resolution 2014 (train)
7.1Error Rate (2px)IGEV-Stereo
Evaluation Results
| Method | Links | |
|---|---|---|
| IGEV-StereoPre-training dataset=Scene Flow, Zero-shot evaluation=true2023.03 | 7.1 | |
| RAFT-StereoPre-training dataset=Scene Flow, Zero-shot evaluation=true2023.03 | 8.7 | |
| Graft-GANetPre-training dataset=Scene Flow, Zero-shot evaluation=true2023.03 | 9.8 | |
| FC-GANetPre-training dataset=Scene Flow, Zero-shot evaluation=true2023.03 | 10.2 | |
| GANetPre-training dataset=Scene Flow, Zero-shot evaluation=true2023.03 | 13.5 | |
| DSMNetPre-training dataset=Scene Flow, Zero-shot evaluation=true2023.03 | 13.8 | |
| CFNetPre-training dataset=Scene Flow, Zero-shot evaluation=true2023.03 | 15.3 | |
| STTRPre-training dataset=Scene Flow, Zero-shot evaluation=true2023.03 | 15.5 | |
| PSMNetPre-training dataset=Scene Flow, Zero-shot evaluation=true2023.03 | 15.8 | |
| SGMPre-training dataset=Scene Flow, Zero-shot evaluation=true2023.03 | 25.2 | |
| PatchMatchPre-training dataset=Scene Flow, Zero-shot evaluation=true2023.03 | 38.6 | |
| CostFilterPre-training dataset=Scene Flow, Zero-shot evaluation=true2023.03 | 40.5 |