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

Object Detection on Foggy Cityscapes full (val)

63.7AP (Person)PAGen

Evaluation Results

Method	Links
PAGen2025.11		63.7	65.5	74.3	46.1	63.9	49.9	50.8	64.3	59.8
SEEN-DA2025.11		58.5	64.5	71.7	42	61.2	54.8	47.1	59.9	57.5
DA-Pro2025.11		55.4	62.9	70.9	40.3	63.4	54	42.3	58	55.9
REACT2025.11		51.4	57.9	67.4	37.7	58.4	52.8	44.6	54.6	53.1
MIC2025.11		50.9	55.3	67	33.9	52.4	33.7	40.6	47.5	47.6
NSA-UDA2025.11		50.3	60.1	67.7	37.4	57.4	46.9	47.3	54.3	52.7
DSD-DA2025.11		49	59.6	65.3	35.7	61	46.5	43.9	57.3	52.3
DT2025.11		48.5	60	65.4	47.2	66.5	52.9	46.2	56.7	55.4
DICN2025.11		47.3	57.4	64	22.7	45.6	29.6	38.6	47.4	44.1
CMT2025.11		47	55.7	64.5	39.4	63.2	51.9	40.3	53.1	51.9
AT2025.11		45.5	55.1	64.2	35	56.3	54.3	38.5	51.9	50.9
CAT2025.11		44.6	57.1	63.7	40.8	66	49.7	44.9	53	52.5
PT2025.11		43.2	52.4	63.4	33.4	56.6	37.8	41.3	48.7	47.1
NLTE2025.11		43.1	50.7	58.7	33.6	56.7	42.7	33.7	43.3	45.4
DA-Faster2025.11		29.2	40.4	43.4	19.7	38.3	28.5	23.7	32.7	32