Object Detection on Foggy Cityscapes to Cityscapes (test) benchmark leaderboard · SOTA2 Research

Object Detection on Foggy Cityscapes to Cityscapes (test)

52.4AP (person)MIC

Evaluation Results

Method	Links
MIC2024.10		52.4	47.5	67	40.6	50.9	55.3	33.7	33.9	47.6
DA-DETR2024.10		49.9	50	63.1	24	45.8	37.5	31.6	46.3	43.5
Target Oracle2024.10		47.5	51.7	66.9	39.4	56.8	49	43.2	47.3	50.2
SIGMA2024.10		46.9	48.4	63.7	27.1	50.7	35.9	34.7	41.4	43.5
LGAsup2024.10		44.4	49.5	61.4	32.6	50.8	52.2	38.3	44	46.7
MGA2024.10		43.9	49.6	60.6	29.6	50.7	39	38.3	42.8	44.3
LGA2024.10		43.2	50.1	61.7	33.3	48.6	47.8	35.2	42.6	45.3
Hneg_SCR2024.10		42.8	46.9	59.7	32.3	48.4	48.9	36.8	43.4	44.9
CDAT2024.10		42.3	51.7	64	26	42.7	37.1	42.5	44	43.8
Santa2024.10		42.3	47.9	59.4	34.4	49.3	49.1	36.4	42.3	45.1
Qs-Att.2024.10		42.2	49	60.3	23.5	50.5	52	36.6	41.4	44.4
NEGCUT2024.10		42.2	48.2	58.8	27.9	47.8	50.2	34.9	43.7	44.2
SCAN2024.10		41.7	43.9	57.3	28.7	48.6	48.7	31	37.3	42.1
FeSeSim2024.10		40.9	47.2	58.4	28.4	48.6	49.8	34.3	42.7	43.8
CUT2024.10		39.6	45.3	59.4	27.9	47.4	45.4	35.3	39.2	42.4
SDA2024.10		38.8	45.9	57.2	29.9	50.2	51.9	31.9	40.9	43.3
memCLR2024.10		37.7	42.8	52.4	24.5	40.6	31.7	29.4	42.2	37.7
DAF+NLTE2024.10		37	46.9	54.8	32.1	49.9	43.5	29.9	39.6	41.8
Source2024.10		35.5	38.7	41.5	18.4	32.8	12.5	22.3	33.6	29.4
TIA2024.10		34.8	46.3	49.7	31.1	52.1	48.6	37.7	38.1	42.3
FGRR2024.10		34.4	47.6	51.3	30	46.8	42.3	35.1	38.9	40.8