| image-to-image-translation-on-cityscapes-to-foggy-cityscapes | MIC | #1 | mAP: 47.6 |
| image-to-image-translation-on-gtav-to-cityscapes-labels | MIC | #2 | mIoU: 75.9 |
| image-to-image-translation-on-synthia-to-cityscapes | MIC | #2 | mIoU (13 classes): 74.0 |
| semantic-segmentation-on-gtav-to-cityscapes-labels | MIC | #2 | mIoU: 75.9 |
| unsupervised-domain-adaptation-on-gtav-to-cityscapes-labels | MIC | #2 | mIoU: 75.9 |
| domain-adaptation-on-visda2017 | MIC | #3 | Accuracy: 92.8 |
| semantic-segmentation-on-dark-zurich | MIC | #3 | mIoU: 60.2 |
| synthetic-to-real-translation-on-gtav-to-cityscapes-labels | HRDA+MIC | #4 | mIoU: 75.9 |
| unsupervised-domain-adaptation-on-cityscapes-to-foggy-cityscapes | MIC | #4 | mAP@0.5: 47.6 |
| unsupervised-domain-adaptation-on-synthia-to-cityscapes | MIC | #4 | mIoU (13 classes): 74.0mIoU: 67.3 |
| domain-adaptation-on-gta5-to-cityscapes | MIC | #5 | mIoU: 75.9 |
| domain-adaptation-on-office-home | MIC | #5 | Accuracy: 86.2 |
| semantic-segmentation-on-synthia-to-cityscapes | MIC | #5 | Mean IoU: 67.3 |
| domain-adaptation-on-cityscapes-to-acdc | MIC | #6 | mIoU: 70.4 |
| synthetic-to-real-translation-on-synthia-to-cityscapes | MIC | #6 | MIoU (16 classes): 67.3MIoU (13 classes): 74.0 |
| domain-adaptation-on-synthia-to-cityscapes | MIC | #8 | mIoU: 67.3 |