Table 1

Performance comparison with state-of-the-art models on the KITTI val set for pedestrian 3D detection in all three difficulties and also the comparison of the GPU memory usage (MiB) and the inference time (FPS). All the 3D detection results are evaluated with average precision and calculated by 40 recall positions.

Models3D PedestrianMem.FPS
EasyMod.Hard
PV-RCNN, [24]62.7254.5149.87824317
CT3D, [23]61.0455.5551.05648519
PDV, [12]66.9060.8055.85730221
Ours68.5361.0156.41566927

Note: Our model’s results are shown in bold, and the best results are underlined. Also, the above results are reproduced by the publicly release model ([28]).

or Create an Account

Close subscription notice
Close access options