List your company

ResearchFormerly WizWand

BEV Object Detection on TJ4DRadSet (test)

54.07BEV mAPR4Det

Evaluation results

Method	Links
R4Det2026.03		54.07	72.36	33.48	64.58	45.85
Ours2026.01		49.33	67.73	34.94	61.32	33.4
SGDet3D2026.01		47.16	66.38	29.18	53.72	39.36
SGDet3D2026.03		47.16	66.38	29.18	53.72	39.36
RCDFNet2026.01		45.61	54.42	35.81	59.27	32.93
SFGFusion2026.01		44.66	46.63	30.04	59.55	42.21
CVFusion2026.03		44.07	58.07	31.65	51.29	35.29
HSGFusion2026.01		43.23	—	—	—	—
UniBEVFusion2026.01		42.92	50.43	29.57	56.48	35.22
LXLv22026.01		42.35	—	—	—	—
Chen et al.2026.01		41.75	43.73	34.08	59.49	29.7
MAFF-Net2026.01		41.59	39.05	35.25	56.35	35.73
BEVFusion2026.01		41.23	48.53	32.04	55.4	28.96
DSFusion2026.01		41.21	49.86	34.17	52.49	32.39
LXL2026.01		41.2	—	—	—	—
LXL2026.03		41.2	—	—	—	—
BEVFusion2026.03		41.12	—	—	—	—
SMURF2026.01		40.98	43.13	29.19	58.81	32.8
SMURF2026.03		40.98	43.13	29.19	58.81	32.8
RCFusion2026.01		39.76	40.89	30.95	58.3	28.92
RCFusion2026.03		39.76	40.89	30.95	58.3	28.92
RadarPillarNet2026.01		39.24	45.72	29.19	56.89	25.17
RadarPillarNet2026.03		39.24	45.72	29.19	56.89	25.17
PointAugmenting2026.01		39.04	43.42	29.65	59.21	23.88
FUTR3D2026.01		37.51	—	—	—	—
FUTR3D2026.03		37.51	—	—	—	—
RCBEVDet2026.01		37.46	41.77	28.98	53.03	26.05
PointPillars2026.01		36.23	38.34	32.26	56.11	18.19
PointPillars2026.03		36.23	38.34	32.26	56.11	18.19
MUFASA2026.01		36.19	41.72	27.93	46.42	28.69
CenterPoint2026.01		36.18	33.03	27.87	58.74	25.09
CenterPoint2026.03		36.18	33.03	27.87	58.74	25.09