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A. Senthil

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#computer vision Preprint Aug 2026

ReVA: A Region-Aware Visual Assistant for Visually Grounded Question Answering

ReVA is proposed, a region-aware VQA model that employs a frozen CLIP ViT-L/14 Vision Transformer (ViT) and a Qwen2.5-7B-Instruct large language model (LLM) connected through a dual bridge that aligns both whole-image and region-level representations with the LLM's embedding space.

A. Senthil · 0 citations