Article

Context-Aware Feature Integration for Enhanced Fine-Grained Understanding in Vision-Language Models

2026-03-02

Abstract excerpt

Current Vision-Language Models often fall short in fine-grained visual understanding and complex multimodal reasoning, particularly for precise attribute recognition, relational understanding, and multi-step inference. To address this, we propose CAFI, a novel, lightweight, and plugand-play Context-Aware Feature Integration module for pre-trained VLM backbones. CAFI employs lightweight Transformer layers, sophisti...

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Literature Corpus work: a1ca6ceb-9cff-5128-b235-709a85362008
DOI: 10.22541/au.177247934.47230024/v1

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