| Benchmark | Model | Rank | Results |
|---|---|---|---|
| image-to-image-translation-on-synthia-to-cityscapes | LRENT (DeepLabv2) | #17 | mIoU (13 classes): 48.7 |
| domain-adaptation-on-visda2017 | MRKLD + LRENT | #19 | Accuracy: 78.1 |
| domain-adaptation-on-visda2017 | CRST | #20 | Accuracy: 78.1 |
| semantic-segmentation-on-densepass | CRST | #24 | mIoU: 31.67% |
| domain-adaptation-on-office-31 | MRKLD + LRENT | #25 | Average Accuracy: 86.8 |
| synthetic-to-real-translation-on-gtav-to-cityscapes-labels | CRST(MRKLD-SP-MST) | #49 | mIoU: 49.8 |