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Updated: Jan 29, 2026

Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels
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适应性扩散模型用于克服远距离人脸识别数据稀缺性.

Jun Li1

  • 1Hunan International Economics University, Changsha, Hunan, 410012, China. lijun8009@outlook.com.

Scientific reports
|January 27, 2026
PubMed
概括

面部识别扩散 (FADiff) 通过从退化输入中重建高质量的面部图像来增强远距离面部识别. 这种新型的自适应扩散模型显著提高了监控应用程序的准确性,解决了数据稀缺的挑战.

关键词:
适应性扩散模型深度学习是一种深度学习.面部识别系统是面部识别系统.面部意识的扩散是面部意识的扩散.面部意识的初始估计器监控和安全应用程序.

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