Object Localization On Kitti Pedestrians
評価指標
AP
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
モデル名 | 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.