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图纸的东西: 一个大规模的图纸数据集的1854对象概念概念
Kushin Mukherjee1,2,3, Holly Huey4, Laura M Stoinski5,6,7
1Department of Psychology, University of Wisconsin-Madison, Madison, WI, USA. kushinm11@gmail.com.
Behavior research methods
|January 30, 2026
概括
研究人员创建了Drawing of THINGS (DoT) 数据集,其中包括28627幅人类对1854个物体的绘画. 这一数据集有助于理解人类如何通过绘图表达视觉知识,并将其与现实世界的图像识别进行比较.
科学领域:
- 认知心理学 认知心理学
- 神经科学是一个神经科学.
- 计算机视觉 计算机视觉
- 人与计算机的交互
背景情况:
- 大量的自然图像数据集推动了心理学,神经科学和计算机科学的进步.
- THINGS数据库通过丰富的视觉对象概念数据来帮助理解人类的视觉知识.
- 现有的资源缺乏关于人类绘画作为表达视觉知识的一种方式的全面数据.
研究的目的:
- 介绍Drawing of THINGS (DoT) 数据集,这是一个全新的人类绘画集合.
- 描述通过图纸传达的语义信息,并将识别能力与现实世界的图像进行比较.
- 调查绘画理解,对象记忆力和典型性之间的关系.
主要方法:
- 收集了28627幅人类绘制的1854个不同的对象概念,反映了THINGS图像数据库结构.
- 收集了关于绘画中风史,细粒度识别,参与者人口统计,绘画能力和心理图像的数据.
- 分析了图纸中的语义信息的沟通和识别准确性.
主要成果:
- 通过绘图建立了一个评估语义信息传输的基准.
- 展示了绘图识别能力与现实世界图像识别的关系.
- 揭示了绘画理解和对象典型性/记忆力之间的相关性.
结论:
- 美国运输部数据集为研究人类视觉知识表达提供了宝贵的资源.
- 科技部增强了THINGS数据库,提供了关于人类如何沟通和通过绘画识别视觉概念的见解.
- 这项工作促进了对视觉认知的理解,以及绘图在知识表示中的作用.
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