3D Object Detection on V2X-Real (test) benchmark leaderboard · SOTA2 Research

3D Object Detection on V2X-Real (test)

91.3Vehicle AP@0.3FocalComm

Evaluation Results

Method	Links
FocalComm2025.12		91.3	87.5	58.5	29.5	60.8	57.4	70.2	58.1
FocalComm2025.12		90	87	53.9	27.1	50.5	42.3	64.8	52.1
ERMVP2025.12		86.7	84	50.6	23.5	41.7	38.7	59.7	48.7
V2VNet2025.12		86.7	82.1	41.9	18.9	53.5	49.8	60.7	50.3
F-Cooper2025.12		86.6	83.2	45.3	23.3	45.5	40.8	59.1	49.1
V2VNet2025.12		86.5	82.5	31.1	13.1	39.2	32.9	52.3	42.8
CoBEVT2025.12		86.1	83.9	51	28.5	48.6	43.3	61.9	51.9
ERMVP2025.12		84.7	82	52.2	27.2	55.7	55	64.2	54.7
V2X-ViT2025.12		84.5	80.2	38.7	15.7	54.6	53.4	59.3	49.7
V2X-ViT2025.12		84.1	80.6	38.2	15.6	41.4	37	54.5	44.4
F-Cooper2025.12		84	79.9	49.7	21	59.3	58.2	64.3	53
CoBEVT2025.12		84	81.1	53.1	30.6	61.9	60.1	66.3	57.2
CoAlign2025.12		83.6	80.8	37.4	17.1	50.1	36.1	57	44.7
CoAlign2025.12		83.5	82	41.1	17.4	57	54.4	60.5	51.3
AttFuse2025.12		82.8	81.8	52.1	28.2	57.4	55.3	64.1	55.1
AttFuse2025.12		81.1	79.9	44.4	20.5	48.7	46.5	58.1	49
No Collaboration2025.12		73.7	68.4	31.8	13.9	21.2	15.7	42.2	32.7
No Collaboration2025.12		70.6	59.1	29.7	10.7	46.6	42	49	37.3