3D Object Detection On Kitti Pedestrian Hard
평가 지표
AP
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | AP | Paper Title | Repository |
---|---|---|---|
F-PointNet++ [Qi:2018fd] | 53.59 | Frustum PointNets for 3D Object Detection from RGB-D Data | |
PVCNN | 56.78 | Point-Voxel CNN for Efficient 3D Deep Learning | |
M3DeTR | 56.49 | M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers | |
F-PointNet [Qi:2018fd] | 49.28 | Frustum PointNets for 3D Object Detection from RGB-D Data |
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