BEV Detection on KITTI Car (test)
94.98mAP (Easy)PV-RCNN
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| PV-RCNNModality=LiDAR only2019.12 | 94.98 | 90.65 | 86.14 | |
| STDModality=LiDAR only2019.12 | 94.74 | 89.19 | 86.42 | |
| ContFuseModality=RGB + LiDAR2019.12 | 94.07 | 85.35 | 75.88 | |
| UberATG-MMFModality=RGB + LiDAR2019.12 | 93.67 | 88.21 | 81.99 | |
| PatchesModality=LiDAR only2019.12 | 92.72 | 88.39 | 83.19 | |
| PointRCNNModality=LiDAR only2019.12 | 92.13 | 87.39 | 82.72 | |
| Part-A2-NetModality=LiDAR only2019.12 | 91.7 | 87.79 | 84.61 | |
| 3D IoU LossModality=LiDAR only2019.12 | 91.36 | 86.22 | 81.2 | |
| F-PointNetModality=RGB + LiDAR2019.12 | 91.17 | 84.67 | 74.77 | |
| AVOD-FPNModality=RGB + LiDAR2019.12 | 90.99 | 84.82 | 79.62 | |
| Fast Point R-CNNModality=LiDAR only2019.12 | 90.87 | 87.84 | 80.52 | |
| PointPillarsModality=LiDAR only2019.12 | 90.07 | 86.56 | 82.81 | |
| SECONDModality=LiDAR only2019.12 | 89.39 | 83.77 | 78.59 | |
| MV3DModality=RGB + LiDAR2019.12 | 86.62 | 78.93 | 69.8 |