2 papers
cs.CV2025
Contrastive Graph Modeling for Cross-Domain Few-Shot Medical Image Segmentation
Yuntian Bo, Tao Zhou, Zechao Li +2
Cross-domain few-shot medical image segmentation (CD-FSMIS) offers a promising and data-efficient solution for medical applications where annotations are severely scarce and multim…
cs.CV2024
AFANet: Adaptive Frequency-Aware Network for Weakly-Supervised Few-Shot Semantic Segmentation
Jiaqi Ma, Guo-Sen Xie, Fang Zhao +1
Few-shot learning aims to recognize novel concepts by leveraging prior knowledge learned from a few samples. However, for visually intensive tasks such as few-shot semantic segment…