3D Object Detection on KITTI (Class APs BEV & 3D)
80.95AP BEV (Car)Voxel R-CNN w/ GBlobs
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Voxel R-CNN w/ GBlobsbackbone=Voxel R-CNN2025.03 | 80.95 | 53.98 | 38.33 | 33.22 | 29.18 | 25.68 | 49.48 | 37.62 | |
| Li et al.2025.03 | 73.58 | 33.11 | 30.01 | 23.73 | 22.93 | 18.62 | 42.17 | 25.15 | |
| Voxel R-CNN2025.03 | 66.93 | 28.8 | 23.39 | 18.65 | 19.23 | 15.76 | 36.52 | 21.07 | |
| 3D-VF2025.03 | 65.36 | 29.21 | 24.85 | 20.87 | 22.13 | 19.31 | 37.45 | 23.13 | |
| PA-DA2025.03 | 65.09 | 32.44 | 18.73 | 14.94 | 18.66 | 15.91 | 34.16 | 21.1 |