Domain Adaptive Object Detection on Foggy Cityscapes (val) benchmark leaderboard · SOTA2 Research

Domain Adaptive Object Detection on Foggy Cityscapes (val)

51.4AP (Person)REACT

Evaluation Results

Method	Links
REACT2025.03		51.4	57.9	67.4	37.7	58.4	52.8	44.6	54.6	53.1
REACT2025.03		51.4	57.9	67.4	37.7	58.4	52.8	44.6	54.6	53.1
MIC2025.03		50.9	55.3	67	33.9	52.4	33.7	40.6	47.5	47.6
MIC2025.03		50.9	55.3	67	33.9	52.4	33.7	40.6	47.5	47.6
DT2025.03		48.5	60	65.4	47.2	66.5	52.9	46.2	56.7	55.4
DT2025.03		48.5	60	65.4	47.2	66.5	52.9	46.2	56.7	55.4
DICN2025.03		47.3	57.4	64	22.7	45.6	29.6	38.6	47.4	44.1
DICN2025.03		47.3	57.4	64	22.7	45.6	29.6	38.6	47.4	44.1
CMT2025.03		47	55.7	64.5	39.4	63.2	51.9	40.3	53.1	51.9
CMT2025.03		47	55.7	64.5	39.4	63.2	51.9	40.3	53.1	51.9
AT2025.03		45.5	55.1	64.2	35	56.3	54.3	38.5	51.9	50.9
AT2025.03		45.5	55.1	64.2	35	56.3	54.3	38.5	51.9	50.9
PT2025.03		43.2	52.4	63.4	33.4	56.6	37.8	41.3	48.7	47.1
PT2025.03		43.2	52.4	63.4	33.4	56.6	37.8	41.3	48.7	47.1
NLTE2025.03		43.1	50.7	58.7	33.6	56.7	42.7	33.7	43.3	45.4
NLTE2025.03		43.1	50.7	58.7	33.6	56.7	42.7	33.7	43.3	45.4
DA-Faster2025.03		29.2	40.4	43.4	19.7	38.3	28.5	23.7	32.7	32
DA-Faster2025.03		29.2	40.4	43.4	19.7	38.3	28.5	23.7	32.7	32