2 papers
cs.CV2026
PMCE: Probabilistic Multi-Granularity Semantics with Caption-Guided Enhancement for Few-Shot Learning
Jiaying Wu, Can Gao, Jinglu Hu +3
Few-shot learning aims to identify novel categories from only a handful of labeled samples, where prototypes estimated from scarce data are often biased and generalize poorly. Sema…
cs.CV2025
Concept Matching with Agent for Out-of-Distribution Detection
Yuxiao Lee, Xiaofeng Cao, Jingcai Guo +3
The remarkable achievements of Large Language Models (LLMs) have captivated the attention of both academia and industry, transcending their initial role in dialogue generation. To…