Depth Estimation on Virtual KITTI to Cityscapes 2 (val)
6.35RMSEFAMDA
Evaluation Results
| Method | Links | |
|---|---|---|
| FAMDABackbone=DeepLabV2, UDA setting=True, Learning protocol (STL/MTL)=MTL2025.09 | 6.35 | |
| FAMDABackbone=SegFormer, UDA setting=True, Learning protocol (STL/MTL)=MTL2025.09 | 6.46 | |
| 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 | 6.72 | |
| VTAGMLBackbone=Swin, UDA setting=True, Learning protocol (STL/MTL)=MTL2025.09 | 8.66 | |
| MulTBackbone=Swin, UDA setting=True, Learning protocol (STL/MTL)=MTL2025.09 | 10.35 | |
| Swin-UDABackbone=Swin, UDA setting=True, Learning protocol (STL/MTL)=STL2025.09 | 11.09 | |
| XTAMBackbone=DeepLabV2, UDA setting=True, Learning protocol (STL/MTL)=MTL2025.09 | 11.15 | |
| STL-UDABackbone=DeepLabV2, UDA setting=True, Learning protocol (STL/MTL)=STL2025.09 | 11.45 | |
| MTL-UDABackbone=DeepLabV2, UDA setting=True, Learning protocol (STL/MTL)=MTL2025.09 | 11.85 | |
| STL sourceBackbone=DeepLabV2, UDA setting=False, Learning protocol (STL/MTL)=STL, Source/Target domain evaluation protocol=Source-only (No adaptation)2025.09 | 11.99 | |
| MTL sourceBackbone=DeepLabV2, UDA setting=False, Learning protocol (STL/MTL)=MTL, Source/Target domain evaluation protocol=Source-only (No adaptation)2025.09 | 12.26 |