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Updated: May 21, 2025

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双频导向特征融合网络用于可见红外人重新识别

Xingyu Cao1, Pengxin Ding1, Jie Li1

  • 1School of Computer Science, Chengdu University of Information Technology, Chengdu 610225, China.

Sensors (Basel, Switzerland)
|March 17, 2025
PubMed
概括

这项研究引入了一个双频特征融合网络 (BiFFN),通过减少模式差距来改善可见红外人重新识别 (VI-ReID). 这种新的方法增强了跨频率和空间域的特征提取和融合,实现了最先进的结果.

关键词:
VI-ReID的第一个版本.功能融合功能融合功能频率域分析频率域分析减少模式差距的缩小

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