3 papers
cs.CV2026
SIEFormer: Spectral-Interpretable and -Enhanced Transformer for Generalized Category Discovery
Chunming Li, Shidong Wang, Tong Xin +1
This paper presents a novel approach, Spectral-Interpretable and -Enhanced Transformer (SIEFormer), which leverages spectral analysis to reinterpret the attention mechanism within…
cs.CV2025
Few-shot Novel Category Discovery
Chunming Li, Shidong Wang, Haofeng Zhang
The recently proposed Novel Category Discovery (NCD) adapt paradigm of transductive learning hinders its application in more real-world scenarios. In fact, few labeled data in part…
cs.CV2025
RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image Segmentation
Yazhou Zhu, Minxian Li, Qiaolin Ye +3
Few-shot medical image segmentation (FSMIS) aims to perform the limited annotated data learning in the medical image analysis scope. Despite the progress has been achieved, current…