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Sep, 2024
视觉语言模型的眼科检查:指导与检测视觉能力
VLM's Eye Examination: Instruct and Inspect Visual Competency of Vision Language Models
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Nam Hyeon-Woo, Moon Ye-Bin, Wonseok Choi, Lee Hyun, Tae-Hyun Oh
TL;DR
本研究针对视觉语言模型(VLMs)在视觉感知方面的理解不足,提出了一种眼科检查方法,以评估VLM对图像的感知能力。研究发现VLM对不同颜色的敏感性存在差异,尤其对绿色表现出普遍的不敏感,表明VLM的设计与输入处理有潜力改善其在应用中的表现。
Abstract
Vision Language Models
(VLMs) have shown promising reasoning capabilities across various benchmarks; however, our understanding of their
Visual Perception
remains limited. In this work, we propose an eye examinat
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