Depth Estimation on SYNTHIA to Cityscapes (val)
6.29RMSEFAMDA
Evaluation Results
| Method | Links | |
|---|---|---|
| FAMDABackbone=DeepLabV2, UDA setting=True, Learning protocol (STL/MTL)=MTL2025.09 | 6.29 | |
| FAMDABackbone=SegFormer, UDA setting=True, Learning protocol (STL/MTL)=MTL2025.09 | 6.49 | |
| STL targetBackbone=DeepLabV2, UDA setting=False, Learning protocol (STL/MTL)=STL, Source/Target domain evaluation protocol=Target-supervised (Upper Bound)2025.09 | 6.62 | |
| MTL targetBackbone=DeepLabV2, UDA setting=False, Learning protocol (STL/MTL)=MTL, Source/Target domain evaluation protocol=Target-supervised (Upper Bound)2025.09 | 6.79 | |
| VTAGMLBackbone=Swin, UDA setting=True, Learning protocol (STL/MTL)=MTL2025.09 | 6.99 | |
| MulTBackbone=Swin, UDA setting=True, Learning protocol (STL/MTL)=MTL2025.09 | 9.55 | |
| Swin-UDABackbone=Swin, UDA setting=True, Learning protocol (STL/MTL)=STL2025.09 | 11.03 | |
| XTAMBackbone=DeepLabV2, UDA setting=True, Learning protocol (STL/MTL)=MTL2025.09 | 11.66 | |
| STL sourceBackbone=DeepLabV2, UDA setting=False, Learning protocol (STL/MTL)=STL, Source/Target domain evaluation protocol=Source-only (No adaptation)2025.09 | 13.79 | |
| STL-UDABackbone=DeepLabV2, UDA setting=True, Learning protocol (STL/MTL)=STL2025.09 | 14.26 | |
| MTL-UDABackbone=DeepLabV2, UDA setting=True, Learning protocol (STL/MTL)=MTL2025.09 | 14.47 | |
| MTL sourceBackbone=DeepLabV2, UDA setting=False, Learning protocol (STL/MTL)=MTL, Source/Target domain evaluation protocol=Source-only (No adaptation)2025.09 | 14.51 |