OMUDA: Omni-level Masking for Unsupervised Domain Adaptation in Semantic Segmentation

Benchmark Model Rank Results
domain-adaptation-on-gta5-to-cityscapesDAFormer+OMUDA–mIoU: 72.0
domain-adaptation-on-synthia-to-cityscapesDAFormer+OMUDA–mIoU: 65.0
image-to-image-translation-on-gtav-to-cityscapes-labelsDAFormer+OMUDA–mIoU: 72.0
synthetic-to-real-translation-on-gtav-to-cityscapes-labelsDAFormer+OMUDA–mIoU: 72.0
synthetic-to-real-translation-on-synthia-to-cityscapesDAFormer+OMUDA–MIoU (16 classes): 65.0
unsupervised-domain-adaptation-on-gtav-to-cityscapes-labelsDAFormer+OMUDA–mIoU: 72.0