Occ3D
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| 3D Occupancy Prediction | Occ3D-nuScenes (val) | mIoU5,335 | 215 | |
| 3D Semantic Occupancy Prediction | Occ3D-nuScenes v1.0 (val) | mIoU83 | 54 | |
| 3D semantic occupancy prediction | Occ3D | RayIoU51.8 | 52 | |
| Semantic Occupancy Prediction | Occ3D (val) | mIoU49.4 | 37 | |
| 3D occupancy prediction | Occ3D nuScenes | Mean IoU47.37 | 36 | |
| 4D Panoptic Occupancy Tracking | Occ3D Waymo | OccAQ Overall25.8 | 35 | |
| Occupancy Prediction | Occ3D v1.0 (test) | RayIoU (Default)48.6 | 24 | |
| 3D Occupancy Prediction | Occ3D Waymo (val) | mIoU45.13 | 24 | |
| 4D occupancy forecasting | Occ3D-nuScenes (val) | mIoU (1s)31.17 | 13 | |
| Motion Planning | Occ3D-nuScenes | L2 Displacement Error (1s)0.12 | 12 | |
| 4D Panoptic Occupancy Tracking | Occ3D-nuScenes | STQ (Temporal Quality)34.4 | 11 | |
| 4D Panoptic Occupancy Tracking | Occ3D nuScenes v1.0 (val) | STQ32.3 | 9 | |
| Semantic Occupancy Estimation | Occ3D-nuScenes | mIoU17.1 | 9 | |
| 3D Occupancy Prediction | Occ3D CVPR2023 Occupancy Challenge | mIoU44.4 | 6 |
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