Yi-Bo Wang

MarCon: Max-Margin Contrastive Learning for Imbalanced Domain Adaptation Semantic Segmentation

Unsupervised Domain Adaptation for Semantic Segmentation (UDA-SS) has seen significant progress in recent years. Existing UDA-SS approaches mostly adopt a pseudo-labeling schema to adapt model in the target domain, but they often overlook the inherent long-tailed data distribution in segmentation. We find that such sca...