UniMAP adapts a segmentation model to an unlabeled target domain without knowing which classes are shared with the source, using domain-specific prototypes and target-guided source image selection.
Do- main adaptation for semantic segmentation with maximum squares loss
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Universal Domain Adaptation for Semantic Segmentation
UniMAP adapts a segmentation model to an unlabeled target domain without knowing which classes are shared with the source, using domain-specific prototypes and target-guided source image selection.