H2O
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Action Recognition | H2O (test) | Accuracy91.73 | 26 | |
| 3D Hand Pose Estimation | H2O | MPJPE Right23.82 | 14 | |
| Energy Modeling | H2O (test) | MAE0 | 8 | |
| 3D Hand Pose Estimation | H2O (same-domain) | MPJPE22.77 | 8 | |
| Action Recognition | H2O | Action Accuracy93.39 | 8 | |
| 3D Hand Pose Estimation | H2O (test) | MEPE (Camera Space)35.02 | 8 | |
| Object 6DoF Tracking | H2O | Local RRE23.24 | 7 | |
| Hand Reconstruction | H2O (test) | Jerk2.34 | 7 | |
| Exo2ego Frame Retrieval | H2O | mAP@583.88 | 7 | |
| Ego2exo Frame Retrieval | H2O | mAP@578.21 | 7 | |
| 3D hand motion generation | H2O | Top-1 Accuracy75 | 6 | |
| Interaction Recognition | H2O (test) | Accuracy79.25 | 6 | |
| Interaction Recognition | H2O (val) | Accuracy86.78 | 6 | |
| 2D Hand Pose Estimation | H2O (test) | PCK@0.297.38 | 6 | |
| 3D Hand-Object Pose Estimation | H2O (test) | Object Error (mm)47.9 | 5 | |
| 4D Hand Motion Reconstruction | H2O | G-MPJPE45.6 | 5 | |
| Text-to-Hand-Object Motion Generation | H2O (test) | Top-3 Accuracy99.2 | 5 | |
| Phase Classification | H2O (test) | Accuracy (0.1 tolerance)43.5 | 5 | |
| Exocentric-to-egocentric translation | H2O (unseen subjects) | FID96.429 | 4 | |
| Exocentric-to-egocentric translation | H2O (unseen scenes) | FID90.893 | 4 | |
| Exocentric-to-egocentric translation | H2O (unseen actions) | FID33.284 | 4 | |
| Exocentric-to-egocentric translation | H2O (unseen objects) | FID41.334 | 4 |
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