3D Object Detection on KITTI Car class (val) benchmark leaderboard · SOTA2 Research

3D Object Detection on KITTI Car class (val)

68.05AP3D (IoU=0.5, Easy)MonoDETR

Evaluation Results

Method	Links
MonoDETR2025.07		68.05	79.72	65.87	58.83	80.3	67.16	59.54	48.42	43.48	72.34	51.97	46.94
DEVIANT2025.07		61	—	—	—	—	—	—	46	40.18	65.28	49.63	43.5
3D-MOOD2025.07		60.74	81.97	64.16	54.36	83.04	66.69	56.79	43.81	36.95	64.93	47.22	40
PLOT2025.07		52.02	80.48	60.83	51.49	83.06	63.59	54.15	36.78	30.4	60.25	42.8	35.77
MonoSOWA2025.07		51.55	72.7	56.3	47.7	73.38	57.23	48.59	37.09	33.15	59.76	44.08	36.99
OVMono3D2025.07		51.23	74.01	51.25	42.4	76.93	53.85	44.89	33.09	27.24	55.56	36.47	30.25
SKD-WM3D2025.07		50.21	—	—	—	—	—	—	41.57	36.92	55.47	44.35	41.86
WeakM3D2025.07		50.16	78.44	56.42	45.81	81.17	59.87	48.98	29.94	23.11	58.2	38.02	30.17
WeakMono3D2025.07		49.37	—	—	—	—	—	—	39.01	36.34	54.32	42.83	40.07
MonoGRNet2025.07		25.66	56.16	42.61	35.36	58.61	48.75	41.49	21.57	17.4	32.23	26.88	22.47
OVM3D-Det2025.07		25.63	44.48	33.29	26.69	47.42	35.96	27.99	18.85	15.67	34.52	24.46	20.4