Few-shot learning addresses the scarcity of expert-annotated images by enabling segmentation models to generalise from only a handful of labelled examples. Broadly, three families of approaches have ...

Domain adaptation (DA) seeks to utilize ample labeled data from a source domain to boost the generalization capability of models on an unlabeled target domain with divergent data distributions. Label ...