Semantic Segmentation on WildDash 1
69.7mIoUOurs_Segformer
Evaluation results
| Method | Links | |
|---|---|---|
| Ours_SegformerBackbone=Segformer, Training Dataset=Mixed, Evaluation Protocol=Zero-shot2022.02 | 69.7 | |
| MSegTraining Dataset=Mixed, Evaluation Protocol=Zero-shot2022.02 | 64.2 | |
| Ours_HRNetBackbone=HRNet, Training Dataset=Mixed, Evaluation Protocol=Zero-shot2022.02 | 64 | |
| HRNet (Mappilary)Backbone=HRNet, Training Dataset=Mappilary, Evaluation Protocol=Zero-shot2022.02 | 55.2 | |
| HRNet (BDD)Backbone=HRNet, Training Dataset=BDD, Evaluation Protocol=Zero-shot2022.02 | 52.1 | |
| HRNet (IDD)Backbone=HRNet, Training Dataset=IDD, Evaluation Protocol=Zero-shot2022.02 | 40.6 | |
| HRNet (COCO)Backbone=HRNet, Training Dataset=COCO, Evaluation Protocol=Zero-shot2022.02 | 38.9 | |
| HRNet (ADE)Backbone=HRNet, Training Dataset=ADE, Evaluation Protocol=Zero-shot2022.02 | 37 | |
| HRNet (Cityscapes)Backbone=HRNet, Training Dataset=Cityscapes, Evaluation Protocol=Zero-shot2022.02 | 30.1 | |
| HRNet (SUN)Backbone=HRNet, Training Dataset=SUN, Evaluation Protocol=Zero-shot2022.02 | 1.4 |