Prediction Of Occupancy Grid Maps 벤치마크
Prediction Of Occupancy Grid Maps on Occ3D-nuScenes
mIoU
- 2023-06-15 — UniOcc: mIoU 51.27
- 2023-06-20 — MiLO: mIoU 52.45
- 2023-07-04 — FB-OCC-K: mIoU 52.79
- 2024-09-30 — DAOcc: mIoU 53.82
| Rank | Model | mIoU | Paper | Code | Year |
|---|---|---|---|---|---|
| 1 | DAOcc | 53.82 | DAOcc: 3D Object Detection Assisted Multi-Sensor Fusion for 3D Occupancy Prediction | alphaplustt/daocc | 2024 |
| 2 | FB-OCC-K | 52.79 | FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation | nvlabs/fb-bev | 2023 |
| 3 | MiLO | 52.45 | Multi-Scale Occ: 4th Place Solution for CVPR 2023 3D Occupancy Prediction Challenge | 2023 | |
| 4 | UniOcc | 51.27 | UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering | 2023 | |
| 5 | HyDRa R50 | 44.4 | Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D Perception | phi-wol/hydra | 2024 |
| 6 | FB-OCC-H | 42.06 | FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation | nvlabs/fb-bev | 2023 |
| 7 | FB-OCC-G | 40.69 | FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation | nvlabs/fb-bev | 2023 |
| 8 | CTF-Occ | 28.53 | FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation | nvlabs/fb-bev | 2023 |