3D Object Detection on DAIR-V2X-I 1 (val) benchmark leaderboard · SOTA2 Research

3D Object Detection on DAIR-V2X-I 1 (val)

82.52Vehicle AP (Easy, IoU=0.5)CoBEV

Evaluation Results

Method	Links
CoBEV2023.10		82.52	81.48	81.6	44.72	42.88	43.07	60.51	62.54	63.31
CoBEV2023.10		82.01	69.57	69.66	49.32	47.21	47.48	66.13	66.17	66.69
CoBEV2023.10		81.2	68.86	68.99	44.23	42.31	42.55	61.28	61	61.61
BEVHeight++2023.10		79.31	68.62	68.68	42.87	40.88	41.06	60.76	60.52	61.01
BEVHeight2023.10		77.78	65.77	65.85	41.22	39.29	39.46	60.23	60.08	60.54
BEVDepth2023.10		75.5	63.58	63.67	34.95	33.42	33.27	55.67	55.47	55.34
SECOND2023.10		71.47	53.99	54	55.16	52.49	52.52	54.68	31.05	31.19
MVXNet2023.10		71.04	53.71	53.76	55.83	54.45	54.4	54.05	30.79	31.06
PointPillars2023.10		63.07	54	54.01	38.53	37.2	37.28	38.46	22.6	22.49
BEVFormer2023.10		61.37	50.73	50.73	16.89	15.82	15.95	22.16	22.13	22.06
ImVoxelNet2023.10		44.78	37.58	37.55	6.81	6.75	6.74	21.06	13.57	13.17