Semantic Segmentation on GTAV (val)
73.5mIoUSW
Evaluation results
| Method | Links | |
|---|---|---|
| SWBackbone=ResNet-50, Output stride=16, Training Dataset=GTAV2021.03 | 73.5 | |
| BaselineBackbone=ResNet-50, Output stride=16, Training Dataset=GTAV2021.03 | 73.45 | |
| IterNormBackbone=ResNet-50, Output stride=16, Training Dataset=GTAV2021.03 | 73.19 | |
| IBN-NetBackbone=ResNet-50, Output stride=16, Training Dataset=GTAV2021.03 | 72.9 | |
| Ours (ISW)Backbone=ResNet-50, Output stride=16, Training Dataset=GTAV2021.03 | 72.1 | |
| Ours (IW)Backbone=ResNet-50, Output stride=16, Training Dataset=GTAV2021.03 | 72.06 | |
| Ours (IRW)Backbone=ResNet-50, Output stride=16, Training Dataset=GTAV2021.03 | 71.96 | |
| IBN-NetBackbone=ResNet-50, Output Stride=16, Training Set=GTAV + SYNTHIA2021.03 | 69.72 | |
| BaselineBackbone=ResNet-50, Output Stride=16, Training Set=GTAV + SYNTHIA2021.03 | 68.48 | |
| Ours (ISW)Backbone=ResNet-50, Output Stride=16, Training Set=GTAV + SYNTHIA2021.03 | 68.26 | |
| BlindNetBackbone=ResNet-50, External Dataset=false, External Module=true, Source Domain=Cityscapes2024.03 | 28.51 | |
| Ours (ISW)Backbone=ResNet-50, Output Stride=16, Training Dataset=Cityscapes2021.03 | 26.2 | |
| IBN-NetBackbone=ResNet-50, Output Stride=16, Training Dataset=Cityscapes2021.03 | 26.14 | |
| SWBackbone=ResNet-50, Output Stride=16, Training Dataset=Cityscapes2021.03 | 26.1 | |
| Ours (IRW)Backbone=ResNet-50, Output Stride=16, Training Dataset=Cityscapes2021.03 | 26.05 | |
| IterNormBackbone=ResNet-50, Output Stride=16, Training Dataset=Cityscapes2021.03 | 25.98 | |
| Ours (IW)Backbone=ResNet-50, Output Stride=16, Training Dataset=Cityscapes2021.03 | 25.81 | |
| BaselineBackbone=ResNet-50, Output Stride=16, Training Dataset=Cityscapes2021.03 | 23.29 | |
| BaselineBackbone=ResNet-50, External Dataset=false, External Module=false, Source Domain=Cityscapes2024.03 | 23.29 |