3D Object Detection On Kitti Cyclist Hard Val

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	AP	Paper Title
PVCNN	56.24	Point-Voxel CNN for Efficient 3D Deep Learning
F-PointNet++ [Qi:2018fd]	53.37	Frustum PointNets for 3D Object Detection from RGB-D Data
F-PointNet [Qi:2018fd]	52.65	Frustum PointNets for 3D Object Detection from RGB-D Data
M3DeTR	68.29	M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers

0 of 4 row(s) selected.