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cs.CV2024
PSA-VLM: Enhancing Vision-Language Model Safety through Progressive Concept-Bottleneck-Driven Alignment
Zhendong Liu, Yuanbi Nie, Yingshui Tan +6
Benefiting from the powerful capabilities of Large Language Models (LLMs), pre-trained visual encoder models connected to LLMs form Vision Language Models (VLMs). However, recent r…
cs.CV2023
Understanding Data Augmentation from a Robustness Perspective
Zhendong Liu, Jie Zhang, Qiangqiang He +1
In the realm of visual recognition, data augmentation stands out as a pivotal technique to amplify model robustness. Yet, a considerable number of existing methodologies lean heavi…