Object Detection on Cityscapes to Foggy Cityscapes (Severity 0.02 1.0, val) benchmark leaderboard · SOTA2 Research

Object Detection on Cityscapes to Foggy Cityscapes (Severity 0.02 1.0, val)

52.8AP (Person)MRT

Evaluation Results

Method	Links
MRT2025.04		52.8	51.7	68.7	35.9	58.1	54.5	41	47.1	51.2
HT2025.04		52.1	55.8	67.5	32.7	55.9	49.1	40.1	50.3	50.4
MTM2025.04		51	53.4	67.2	37.2	54.4	41.6	38.4	47.7	48.9
DA-DETR2025.04		49.9	50	63.1	24	45.8	37.5	31.6	46.3	43.5
RT-DATR2025.04		49.9	59.7	69.2	41.2	59.5	44	47.6	50.1	52.7
AQT2025.04		49.3	52.3	64.4	27.7	53.7	46.5	36	46.4	47.1
O2Net2025.04		48.7	51.5	63.6	31.1	47.6	47.8	38	45.9	46.8
OADA2025.04		47.8	46.5	62.9	32.1	48.5	50.9	34.3	39.8	45.4
MTTrans2025.04		47.7	49.9	65.2	25.8	45.9	33.8	32.6	46.5	43.4
RT-DATR2025.04		47.6	55.9	66.1	37.1	58.7	43.4	42	48	50.4
SFA2025.04		46.5	48.6	62.6	25.1	46.2	29.4	28.3	44	41.3
CMT2025.04		45.9	55.7	63.7	39.6	66	38.8	41.4	51.2	50.3
ConfMix2025.04		45	43.4	63.6	27.3	45.8	40	28.6	33.5	40.8
CAT2025.04		44.6	57.1	63.7	40.8	66	49.7	44.9	53	52.5
RT-DETR (Source Only)2025.04		41.4	49.7	58	31.5	53	25.5	36	45.3	42.6
RT-DETR (Source Only)2025.04		39.2	47.7	51.6	28.8	41.2	7.2	27.3	41.7	35.6
Deformable DETR (Source Only)2025.04		37.7	39.1	44.2	17.2	26.8	5.8	21.6	35.5	28.5
FCOS (Source Only)2025.04		36.9	36.3	44.1	18.6	29.3	8.4	20.3	31.9	28.2
TIA2025.04		34.8	46.3	49.7	31.1	52.1	48.6	37.7	38.1	42.3
YOLOv5 (Source Only)2025.04		34.8	37.6	48.7	14.3	30.1	8.8	14.6	28.1	27.1
UMT2025.04		33	46.7	48.6	34.1	56.5	46.8	30.4	37.3	41.7
Faster R-CNN (Source Only)2025.04		22.4	26.6	28.5	9	16	4.3	15.2	25.3	18.4