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cs.CV2025
Attention Debiasing for Token Pruning in Vision Language Models
Kai Zhao, Wubang Yuan, Yuchen Lin +5
Vision-language models (VLMs) typically encode substantially more visual tokens than text tokens, resulting in significant token redundancy. Pruning uninformative visual tokens is…
cs.CV2025
AngleRoCL: Angle-Robust Concept Learning for Physically View-Invariant T2I Adversarial Patches
Wenjun Ji, Yuxiang Fu, Luyang Ying +5
Cutting-edge works have demonstrated that text-to-image (T2I) diffusion models can generate adversarial patches that mislead state-of-the-art object detectors in the physical world…