Semantic Segmentation on Cityscapes -> Dark Zurich (val) benchmark leaderboard · SOTA2 Research

Semantic Segmentation on Cityscapes -> Dark Zurich (val)

91.2Road IoUSePiCo (DistCL)

Evaluation Results

Method	Links
SePiCo (DistCL)2022.04		91.2	61.3	67	28.5	15.5	44.7	44.3	41.3	65.4	22.5	80.4	41.3	52.4	71.2	39.3	0	39.6	27.5	28.8	45.4
CDAda2022.04		90.5	60.6	67.9	37	19.3	42.9	36.4	35.3	66.9	24.4	79.8	45.4	42.9	70.8	51.7	0	29.7	27.7	26.2	45
DANNet2022.04		90	54	74.8	41	21.1	25	26.8	30.2	72	26.2	84	47	33.9	68.2	19	0.3	66.4	38.3	23.6	44.3
DANNet2022.04		88.6	53.4	69.8	34	20	25	31.5	35.9	69.5	32.2	82.3	44.2	43.7	54.1	22	0.1	40.9	36	24.1	42.5
SePiCo (BankCL)2022.04		88.5	54.8	66.5	25.1	13.5	40	39.6	40.8	62.5	25.1	79	37.8	54.8	70.4	63.7	0	36.8	15.6	23.4	44.1
SePiCo (ProtoCL)2022.04		87.3	50.9	64.5	25.6	12.1	38.3	40.8	37.5	61	21.9	77.6	37.4	47	67.8	54.5	0	33.7	27	23.7	42.6
AdaptSeg2022.04		86.1	44.2	55.1	22.2	4.8	21.1	5.6	16.7	37.2	8.4	1.2	35.9	26.7	68.2	45.1	0	50.1	33.9	15.6	30.4
AdvEnt2022.04		85.8	37.9	55.5	27.7	14.5	23.1	14	21.1	32.1	8.7	2	39.9	16.6	64	13.8	0	58.8	28.5	20.7	29.7
BDL2022.04		85.3	41.1	61.9	32.7	17.4	20.6	11.4	21.3	29.4	8.9	1.1	37.4	22.1	63.2	28.2	0	47.7	39.4	15.7	30.8
GCMA2022.04		81.7	46.9	58.8	22	20	41.2	40.5	41.6	64.8	31	32.1	53.5	47.5	75.5	39.2	0	49.6	30.7	21	42
MGCDA2022.04		80.3	49.3	66.2	7.8	11	41.4	38.9	39	64.1	18	55.8	52.1	53.5	74.7	66	0	37.5	29.1	22.7	42.5
Source Only2022.04		79	21.8	53	13.3	11.2	22.5	20.2	22.1	43.5	10.4	18	37.4	33.8	64.1	6.4	0	52.3	30.4	7.4	28.8
DMAda2022.04		75.5	29.1	48.6	21.3	14.3	34.3	36.8	29.9	49.4	13.8	0.4	43.3	50.2	69.4	18.4	0	27.6	34.9	11.9	32.1
Source Only2022.04		68.8	23.2	46.8	20.8	12.6	29.8	30.4	26.9	43.1	14.3	0.3	36.9	49.7	63.6	6.8	0.2	24	33.6	9.3	28.5