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Updated: Jan 18, 2026

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
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Ada-DF++:一种双分支自适应面部表情识别方法,整合了全球意识空间注意力和挤压和激发注意力

Zhi-Rui Li1, Zheng-Jie Deng1, Xi-Yan Li1

  • 1School of Information Science and Technology, Hainan Normal University, Haikou 571127, China.

Sensors (Basel, Switzerland)
|September 13, 2025
PubMed
概括

这项研究引入了一个全球意识空间 (GAS) 注意模块,以增强面部表情识别 (FER). 新方法通过专注于关键的面部区域和微妙的表情细节来提高准确性.

关键词:
全球意识 空间注意力挤压和激发注意力注意力适应性特征融合融合是一种适应性特征.面部表情识别 面部表情识别

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