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Semantic Segmentation on Cityscapes-C long-term adaptation (target)

79.2mIoU (Brig.)Ours
37.648.459.270Dec 9, 2025

Evaluation results

MethodLinks
OursBackbone=SegFormer-B5, Round=12025.1279.2—73.939.847.5—
OursBackbone=SegFormer-B5, Round=42025.1278.7—73.342.150.6—
DATBackbone=SegFormer-B5, Round=12025.1278.5—73.544.849—
SVDPBackbone=SegFormer-B5, Round=12025.1278.3—72.943.752.1—
CoTTABackbone=SegFormer-B5, Round=12025.1278.1—70.434.639.1—
CoTTABackbone=SegFormer-B5, Round=42025.1278.1—70.434.639—
CoTTABackbone=SegFormer-B5, Round=72025.1278.1—70.334.539—
CoTTABackbone=SegFormer-B5, Round=102025.1278—70.434.438.9—
OursBackbone=SegFormer-B5, Round=72025.1277.7—72.540.648.6—
OursBackbone=SegFormer-B5, Round=102025.1277.6—72.24048.4—
SourceBackbone=SegFormer-B5, Round=12025.1275.7—67.33338.6—
SourceBackbone=SegFormer-B5, Round=42025.1275.7—67.33338.6—
SourceBackbone=SegFormer-B5, Round=72025.1275.7—67.33338.6—
SourceBackbone=SegFormer-B5, Round=102025.1275.7—67.33338.6—
TENTBackbone=SegFormer-B5, Round=12025.1275.6—67.132.937.4—
DATBackbone=SegFormer-B5, Round=42025.1274.6—68.947.450.5—
SVDPBackbone=SegFormer-B5, Round=42025.1273.7—68.544.751.8—
DATBackbone=SegFormer-B5, Round=72025.1273.2—67.545.448.9—
SVDPBackbone=SegFormer-B5, Round=102025.1272.9—66.946.251.8—
SVDPBackbone=SegFormer-B5, Round=72025.1272.8—6846.852.7—
TENTBackbone=SegFormer-B5, Round=42025.1272.6—62.730.833.7—
DATBackbone=SegFormer-B5, Round=102025.1272—66.443.547.5—
EcoTTABackbone=DeepLabV3+, Round=12025.1270.2—62.446.341.9—
TENTBackbone=DeepLabV3+, Round=12025.1270.1—62.146.140.2—
EcoTTABackbone=DeepLabV3+, Round=102025.1270.1—62.846.642.2—
EcoTTABackbone=DeepLabV3+, Round=42025.1270—62.846.542.2—
EcoTTABackbone=DeepLabV3+, Round=72025.1270—62.846.542.1—
TENTBackbone=SegFormer-B5, Round=72025.1269.3—59.128.731.5—
BN AdaptBackbone=DeepLabV3+, Round=12025.1269.1—6144.839.1—
BN AdaptBackbone=DeepLabV3+, Round=42025.1269.1—6144.839.1—
BN AdaptBackbone=DeepLabV3+, Round=72025.1269.1—6144.839.1—
BN AdaptBackbone=DeepLabV3+, Round=102025.1269.1—6144.839.1—
TENTBackbone=SegFormer-B5, Round=102025.1266.5—55.927.330.2—
TENTBackbone=DeepLabV3+, Round=42025.1262.2—53.744.437.9—
SourceBackbone=DeepLabV3+, Round=12025.1260.4—54.3304.1—
SourceBackbone=DeepLabV3+, Round=42025.1260.4—54.3304.1—
SourceBackbone=DeepLabV3+, Round=72025.1260.4—54.3304.1—
SourceBackbone=DeepLabV3+, Round=102025.1260.4—54.3304.1—
TENTBackbone=DeepLabV3+, Round=72025.1250—41.531.626.6—
TENTBackbone=DeepLabV3+, Round=102025.1239.2—32.625.322.4—
BN AdaptBackbone=DeepLabV3+2025.12—————53.6
CoTTABackbone=SegFormer-B52025.12—————55.5
DATBackbone=SegFormer-B52025.12—————59.6
EcoTTABackbone=DeepLabV3+2025.12—————55.3
OursBackbone=SegFormer-B52025.12—————60.3
SourceBackbone=DeepLabV3+2025.12—————37.2
SourceBackbone=SegFormer-B52025.12—————53.6
SVDPBackbone=SegFormer-B52025.12—————59.9
TENTBackbone=DeepLabV3+2025.12—————42.9
TENTBackbone=SegFormer-B52025.12—————48.8