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Updated: May 24, 2025

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
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A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

Published on: September 4, 2019

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W-DOE:瓦瑟斯坦分布-不可知异常值暴露

Qizhou Wang, Bo Han, Yang Liu

    IEEE transactions on pattern analysis and machine intelligence
    |March 3, 2025
    PubMed
    概括

    这项研究介绍了瓦瑟斯坦分布不可知异常值暴露 (W-DOE),这是一种改善分布外 (OOD) 检测的新方法. 通过合成多样化的OOD数据,W-DOE增强了模型的概括性,并减少了开放世界环境中的错误.

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