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Semantic Segmentation on Dv-19 Synthetic-to-Real (test)

52.2CS-19 ScoreS2-Corr
40.7643.7346.749.67Feb 21, 2026

Evaluation results

MethodLinks
S2-CorrBackbone=EVA02 ViT-L/14, Training Data=GTA-72026.0252.244.250.353.349.9
S2-CorrBackbone=EVA02 ViT-B/16, Training Data=GTA-72026.0249.340.448.654.548.2
CAT-SegBackbone=EVA02 ViT-L/14, Training Data=GTA-72026.0248.742.447.950.847.5
CLIPSelfBackbone=EVA02 ViT-B/16, Training Data=GTA-7+COCO2026.0248.137.647.951.146.2
MaskAdapterBackbone=EVA02 ViT-L/14, Training Data=GTA-72026.0247.940.447.250.446.5
CLIPSelfBackbone=EVA02 ViT-L/14, Training Data=GTA-7+COCO2026.0247.843.15050.147.8
RSC-CLIPSelfBackbone=EVA02 ViT-B/16, Training Data=GTA-7+COCO2026.0246.237.94651.645.4
MaskAdapterBackbone=EVA02 ViT-B/16, Training Data=GTA-72026.024636.445.750.144.6
CAT-Seg+DGInStyleBackbone=EVA02 ViT-L/14, Training Data=GTA-72026.024643.948.95147.5
MAFT+Backbone=EVA02 ViT-B/16, Training Data=GTA-72026.0245.738.543.750.244.5
CAT-Seg+AdvStyleBackbone=EVA02 ViT-B/16, Training Data=GTA-72026.0244.938.243.851.144.5
CAT-Seg+DGInStyleBackbone=EVA02 ViT-B/16, Training Data=GTA-72026.0244.439.148.151.445.8
CAT-SegBackbone=EVA02 ViT-B/16, Training Data=GTA-72026.0243.737.645.448.843.9
SANBackbone=EVA02 ViT-B/16, Training Data=GTA-72026.0243.336.74248.142.5
ESC-NetBackbone=EVA02 ViT-B/16, Training Data=GTA-72026.0242.235.944.648.142.7
OVSegBackbone=EVA02 ViT-B/16, Training Data=GTA-72026.0241.234.942.545.140.9