3D Object Detection on KITTI (val) (3D mAP)
83.93D mAPPV-RCNN
Evaluation Results
| Method | Links | |
|---|---|---|
| PV-RCNNModality=LiDAR only, Recall Positions=11, Difficulty Level=Moderate2019.12 | 83.9 | |
| STDModality=LiDAR only, Recall Positions=11, Difficulty Level=Moderate2019.12 | 79.8 | |
| Fast Point R-CNNModality=LiDAR only, Recall Positions=11, Difficulty Level=Moderate2019.12 | 79 | |
| PointRCNNModality=LiDAR only, Recall Positions=11, Difficulty Level=Moderate2019.12 | 78.63 | |
| SECONDModality=LiDAR only, Recall Positions=11, Difficulty Level=Moderate2019.12 | 76.48 | |
| AVOD-FPNModality=RGB + LiDAR, Recall Positions=11, Difficulty Level=Moderate2019.12 | 74.44 | |
| ContFuseModality=RGB + LiDAR, Recall Positions=11, Difficulty Level=Moderate2019.12 | 73.25 | |
| F-PointNetModality=RGB + LiDAR, Recall Positions=11, Difficulty Level=Moderate2019.12 | 70.92 | |
| VoxelNetModality=LiDAR only, Recall Positions=11, Difficulty Level=Moderate2019.12 | 65.46 | |
| MV3DModality=RGB + LiDAR, Recall Positions=11, Difficulty Level=Moderate2019.12 | 62.68 |