AI RESEARCH
Cross-Domain Few-Shot Segmentation via Multi-view Progressive Adaptation
arXiv CS.CV
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ArXi:2602.05217v2 Announce Type: replace Cross-Domain Few-Shot Segmentation aims to segment categories in data-scarce domains conditioned on a few exemplars. Typical methods first establish few-shot capability in a large-scale source domain and then adapt it to target domains. However, due to the limited quantity and diversity of target samples, existing methods still exhibit constrained performance.