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cs.CV2026
MUSE: Harnessing Precise and Diverse Semantics for Few-Shot Whole Slide Image Classification
Jiahao Xu, Sheng Huang, Xin Zhang +3
In computational pathology, few-shot whole slide image classification is primarily driven by the extreme scarcity of expert-labeled slides. Recent vision-language methods incorpora…
cs.CV2024
Category-Prompt Refined Feature Learning for Long-Tailed Multi-Label Image Classification
Jiexuan Yan, Sheng Huang, Nankun Mu +2
Real-world data consistently exhibits a long-tailed distribution, often spanning multiple categories. This complexity underscores the challenge of content comprehension, particular…