Cristina Mata*

CoPT: Unsupervised Domain Adaptive Segmentation using Domain-Agnostic Text Embeddings

"Unsupervised domain adaptation (UDA) involves learning class semantics from labeled data within a source domain that generalize to an unseen target domain. UDA methods are particularly impactful for semantic segmentation, where annotations are more difficult to collect than in image classification.…