3 papers
cs.CV2026
Training-free Cross-domain Few-shot Segmentation via Robust Semantic Representation and Matching
Sujun Sun, Mingwu Ren, Haofeng Zhang
Cross-domain Few-shot Segmentation (CD-FSS) aims to transfer knowledge learned from source domain to distinct target domains, segmenting unseen target classes with only a few annot…
cs.CV2026
Hierarchical Spatial and Channel Aggregation for Cross-domain Few-shot Segmentation
Sujun Sun, Mingwu Ren, Haofeng Zhang
Cross-domain Few-shot Segmentation (CD-FSS) aims to learn generalizable segmentation capability from abundant annotated samples in the source domain, enabling accurate segmentation…
cs.CV2025
Bridging Granularity Gaps: Hierarchical Semantic Learning for Cross-domain Few-shot Segmentation
Sujun Sun, Haowen Gu, Cheng Xie +3
Cross-domain Few-shot Segmentation (CD-FSS) aims to segment novel classes from target domains that are not involved in training and have significantly different data distributions…