| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| MOT17, MOT20, SoccerNet, DanceTrack Combined (test) | SIKNet | mAR72.66 | 36 | 1mo ago | |
| Close scenario (test) | MSE22.5 | 18 | 4mo ago | ||
| Foreman | Time0.0012 | 13 | 2mo ago | ||
| nuScenes Speed <= 5m/s | Self-Supervised Pillar Motion Learning | Mean Error0.2286 | 11 | 4mo ago | |
| nuScenes Static | HPLFlowNet | Mean Error0.0041 | 11 | 4mo ago | |
| Free scenario (test) | OKFp | MSE117.9 | 9 | 4mo ago | |
| Const_v scenario (test) | OKFp | MSE89.2 | 9 | 4mo ago | |
| Toy scenario (test) | OEKF | MSE79.4 | 8 | 4mo ago | |
| Big Bunny | Time0.0005 | 5 | 2mo ago | ||
| Four People | Time0.01 | 5 | 2mo ago | ||
| BridgeFar | Time0.001 | 5 | 2mo ago | ||
| Foreman sequence | PSNR27.89 | 5 | 2mo ago | ||
| Synthetic Tagged MRI | InvTag | EPE0.6 | 5 | 4mo ago | |
| TotalCapture japan-office synthetic sequences 1.0 | Fest | MPJPE (Relative)4.13 | 5 | 4mo ago | |
| TotalCapture flood-ground synthetic sequences 1.0 | Fest | r.MPJPE4.64 | 5 | 4mo ago | |
| BioHuman10M (test) | BioHuman | RMSE Pose0.3 | 4 | 2mo ago | |
| nuScenes | TP88,791 | 4 | 4mo ago | ||
| Event Camera Dataset (ECD) (boxes) | Proposed | Rotation RMSE56.364 | 3 | 2mo ago | |
| Event Camera Dataset (ECD) (dynamic) | Proposed | Rotation RMSE6.627 | 3 | 2mo ago |
