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3D Object Detection on KITTI (val) (IoU 0.3, 0.5, 0.7)

67.92AP3D (IoU=0.5) EasyVeloFCN
23.480835.017946.55558.0921Nov 26, 2018Dec 27, 2018Jan 28, 2019Mar 1, 2019Apr 1, 2019May 3, 2019Jun 4, 2019

Evaluation results

MethodLinks
VeloFCNData=LiDAR2019.0667.92———57.5752.5615.213.6615.98
TLNetData=Stereo2019.0659.5178.2663.3657.143.7137.9918.1514.2613.72
MonoGRNetData=Mono2019.0650.5172.1759.5746.0836.9730.8213.8810.197.62
MonoGRNetType=Mono, Inference Time (s)=0.062018.1150.5172.1759.5746.0836.9730.8213.8810.197.62
TLNet (baseline)Data=Mono2019.0648.3472.9155.7249.1933.9828.6713.779.729.29
MF3DData=Mono2019.0647.88———29.4826.4410.535.695.39
MF3DType=Mono, Inference Time (s)=0.122018.1147.88———29.4826.4410.535.695.39
3DOPData=Stereo2019.0646.0469.7952.2249.6434.6330.096.555.074.1
3DOPType=Stereo, Inference Time (s)=4.22018.1146.0469.7952.2249.6434.6330.096.555.074.1
Mono3DData=Mono2019.0625.1928.2923.2119.4918.215.222.532.312.31
Mono3DType=Mono, Inference Time (s)=32018.1125.1928.2923.2119.4918.215.222.532.312.31