Semantic Segmentation on Foggy Zurich (FZ)
60.9mIoUCoDA
Evaluation results
| Method | Links | |
|---|---|---|
| CoDABackbone=SegFormer, Scene Specificity=Scene-Agnostic2024.03 | 60.9 | |
| SAM-EDABackbone=ViT-H, Scene Specificity=Scene-Specialized2024.03 | 56.4 | |
| MICBackbone=SegFormer, Scene Specificity=Scene-Agnostic2024.03 | 53.3 | |
| FogAdaptBackbone=ResNet-38, Scene Specificity=Scene-Specialized2024.03 | 50.6 | |
| CuDA-NetBackbone=DeepLab-v2, Scene Specificity=Scene-Specialized2024.03 | 49.1 | |
| FIFOBackbone=RefineNet, Scene Specificity=Scene-Specialized2024.03 | 48.4 | |
| STABackbone=SegFormer, Scene Specificity=Scene-Agnostic2024.03 | 46.9 | |
| CMAda3Backbone=RefineNet, Scene Specificity=Scene-Specialized2024.03 | 46.8 | |
| HRDABackbone=SegFormer, Scene Specificity=Scene-Agnostic2024.03 | 46 | |
| DAFormerBackbone=SegFormer, Scene Specificity=Scene-Agnostic2024.03 | 40.8 | |
| SFSUBackbone=RefineNet, Scene Specificity=Scene-Specialized2024.03 | 35.7 | |
| AdaptSegBackbone=DeepLab-v2, Scene Specificity=Scene-Agnostic2024.03 | 26.1 |