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3D Object Detection On Kitti Pedestrian
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
| Paper Title | ||
|---|---|---|
| PVCNN | 64.71 | Point-Voxel CNN for Efficient 3D Deep Learning |
| F-PointNet++ [Qi:2018fd] | 61.32 | Frustum PointNets for 3D Object Detection from RGB-D Data |
| M3DeTR | 60.63 | M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers |
| F-PointNet [Qi:2018fd] | 55.85 | Frustum PointNets for 3D Object Detection from RGB-D Data |
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