Object Localization On Kitti Pedestrians
평가 지표
AP
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | AP | Paper Title | Repository |
|---|---|---|---|
| Frustum PointNets | 50.22% | Frustum PointNets for 3D Object Detection from RGB-D Data | |
| VoxelNet | 40.74% | VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection | |
| Frustrum-PointPillars | 52.23 % | Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR |
0 of 3 row(s) selected.