Semantic Segmentation on ACDC v1 (test)
75.66mIoUHQ
Evaluation results
| Method | Links | |
|---|---|---|
| HQSegmentation Model=RefineNet-lw2025.01 | 75.66 | |
| UniRestoreSegmentation Model=RefineNet-lw2025.01 | 39.27 | |
| DIPSegmentation Model=RefineNet-lw2025.01 | 38.19 | |
| URIESegmentation Model=RefineNet-lw2025.01 | 37.9 | |
| PromptIRSegmentation Model=RefineNet-lw2025.01 | 37.86 | |
| NAFNetSegmentation Model=RefineNet-lw2025.01 | 37.59 | |
| DiffBIRSegmentation Model=RefineNet-lw2025.01 | 36.28 | |
| NAFNet*Segmentation Model=RefineNet-lw2025.01 | 36.03 | |
| DiffUIRSegmentation Model=RefineNet-lw2025.01 | 35.78 | |
| PromptIR*Segmentation Model=RefineNet-lw2025.01 | 35.51 | |
| DiffUIR*Segmentation Model=RefineNet-lw2025.01 | 34.83 | |
| DiffBIR*Segmentation Model=RefineNet-lw2025.01 | 33.12 | |
| DIP*Segmentation Model=RefineNet-lw2025.01 | 32.98 | |
| URIE*Segmentation Model=RefineNet-lw2025.01 | 32.71 | |
| LQSegmentation Model=RefineNet-lw2025.01 | 28.3 |