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Focus Where It Counts: A Salience-Driven Vision-Language Model for Low Vision Assistance

arXiv · AI, language, vision and robotics · article · Aug 28, 2026 · UTC

Vision-language models (VLMs) are rapidly progressing and offer promising capabilities for assistive technologies supporting persons with blindness or low vision. However, existing VLMs are primarily designed for general-purpose captioning and do not explicitly model human perceptual priorities, thereby limiting their ability to emphasize the most relevant information in a scene. To address this gap, we propose a salience-driven captioning framework that prioritizes scene elements according to their importance for human-centered assistance. We curate three salience-aware datasets, namely, Sali

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