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cs.CV2026
PL-SCEA: Reconfiguring Pretrained Attention for Few-Shot Industrial Anomaly Detection
Xiaoyu Yang, Qixing Wu, Huixian Zhao +1
Vision Foundation Models (VFMs) provide transferable patch representations for few-shot industrial anomaly detection, but their attention computation is typically inherited from pr…
cs.CV2026
The Model Knows Which Tokens Matter: Automatic Token Selection via Noise Gating
Landi He, Xiaoyu Yang, Lijian Xu
Visual tokens dominate inference cost in vision-language models (VLMs), yet many carry redundant information. Existing pruning methods alleviate this but typically rely on attentio…