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#computer vision Preprint Sep 2026

Small yet Assistive: Spatially-Aware Post-Training for Low Vision

An estimated 1 billion people worldwide live with vision impairment, yet current vision-language models (VLMs) produce descriptions too vague for safe navigation by blind and low-vision (BLV) users. Large VLMs can generate high-quality audio-description-compliant narrations but cannot run on mobile devices; small VLMs...

Rishabh C. Choudhary, S. Raj, Umesh Goyal et al. · 0 citations
Conference Aug 2026

Smart Sight: A Comprehensive Deep Learning Framework for Real-Time Assistive Navigation and Object Recognition for Visually Impaired Individuals

Visual impairment is a universal health burden, and one of the most pressing concerns in the world, as it is estimated that there are 2.2 billion afflicted persons in the world, which is highly constraining in their free movements, their interactions with the surrounding, as well as on their social interrelation. White...

S. M. Raj, V. Hemanth, N. Nikhil et al. · 0 citations

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