Semantic Segmentation on SYNTHIA to Cityscapes 13 classes (val)
48.9mIoUIntraDA
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| IntraDASetting=STDA, Backbone=ResNet-1012021.06 | 48.9 | — | — | — | — | |
| CCLSetting=MTDA, Backbone=ResNet-1012021.06 | 48.1 | — | — | — | — | |
| CLANSetting=STDA, Backbone=ResNet-1012021.06 | 47.8 | — | — | — | — | |
| ADVENTSetting=STDA, Backbone=ResNet-1012021.06 | 47.8 | — | — | — | — | |
| AdaptSegSetting=STDA, Backbone=ResNet-1012021.06 | 46.7 | — | — | — | — | |
| SIBANSetting=STDA, Backbone=ResNet-1012021.06 | 46.3 | — | — | — | — | |
| MaxSquareSetting=STDA, Backbone=ResNet-1012021.06 | 45.8 | — | — | — | — | |
| MT-MTDASetting=MTDA, Backbone=ResNet-101, note=results of our implementation2021.06 | 45.2 | — | — | — | — | |
| Yue et al.Setting=DG, Backbone=ResNet-1012021.06 | 44.3 | — | — | — | — | |
| MTDA-ITASetting=MTDA, Backbone=ResNet-101, note=results of our implementation2021.06 | 42.7 | — | — | — | — | |
| AdaptSegNet (multi-level)Backbone=ResNet-1012018.02 | — | — | 46.7 | 71.7 | -25 | |
| AdaptSegNet (single-level)Backbone=VGG-162018.02 | — | — | 37.6 | 68.4 | -30.8 | |
| CDABackbone=VGG-162018.02 | — | — | 34.8 | 69.6 | -34.8 | |
| Cross-CityBackbone=VGG-162018.02 | — | — | 35.7 | 73.8 | -38.1 | |
| FCNs in the WildBackbone=VGG-162018.02 | — | — | 22.9 | 73.8 | -50.9 |