3D Object Detection on V2X-Real Ideal Setting benchmark leaderboard · SOTA2 Research

3D Object Detection on V2X-Real Ideal Setting

89.63AP@0.3 (Vehicle)GenComm

Evaluation Results

Method	Links
GenComm2026.03		89.63	36.02	55.99	60.54	83.96	12.82	54.4	50.39	53.49	0.4	45.28	33.06
HyDRA2026.03		86.84	44.16	54.23	61.74	85.55	18.18	48.84	50.86	59.14	0.59	40.78	33.5
HEAL2026.03		86.61	41.15	61	62.92	83.92	15.53	53.48	50.98	57.06	0.4	40.23	32.56
E2E Training2026.03		86.41	40.87	55.42	60.9	84.38	14.44	50.38	49.74	56.93	0.31	25.47	27.57
MPDA2026.03		82.88	37.9	56.45	59.08	80.61	14.63	54.26	49.83	52.41	0.45	38.5	30.45
CodeFilling2026.03		80.78	34.83	53.64	56.41	76.38	12.19	49.59	46.05	43.73	0.31	34.73	26.26
Late Fusion2026.03		72.97	43.27	48.98	55.07	70.96	17.42	41.67	43.35	42.41	0.73	26.54	23.23
No Fusion2026.03		64.71	32.85	51.61	49.72	60.06	12.48	43	38.51	32.08	0.16	23.06	18.43