3D Object Detection on KITTI (val) (AP by Class and Difficulty) benchmark leaderboard · SOTA2 Research

3D Object Detection on KITTI (val) (AP by Class and Difficulty)

92.09AP 3D (Car, Easy)STONE

Evaluation Results

Method	Links
STONE2024.10		92.09	80.27	75.44	66.1	58.84	52.7	88.31	67.14	64.01	82.17	68.75	64.05
KECOR2024.10		91.71	79.56	74.05	65.37	57.33	51.56	87.8	69.13	64.65	81.63	68.67	63.42
CRB2024.10		90.98	79.02	74.04	64.17	54.8	50.82	86.96	67.45	63.56	80.7	67.11	62.81
CONSENSUS2024.10		90.14	78.01	74.28	56.43	49.5	44.8	78.46	55.77	53.73	75.01	61.09	57.6
BADGE2024.10		89.96	75.78	70.54	51.94	46.24	40.98	84.11	62.29	58.12	75.34	61.44	56.55
LLAL2024.10		89.95	78.65	75.32	56.34	49.87	45.97	75.55	60.35	55.36	73.94	62.95	58.88
MC-REG2024.10		88.85	76.21	73.47	35.82	31.81	29.79	73.98	55.23	51.85	66.21	54.41	51.7
LT/C2024.10		88.73	78.12	73.87	55.17	48.37	43.63	83.72	63.21	59.16	75.88	63.23	58.89
CORESET2024.10		87.77	77.73	72.95	47.27	41.97	38.19	81.73	59.72	55.64	72.26	59.81	55.59
MC-MI2024.10		86.28	75.58	71.56	41.05	37.5	33.83	86.26	60.22	56.04	71.19	57.77	53.81