Multi-threshold deep metric learning for facial expression recognition
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Published:2024-12
Issue:
Volume:156
Page:110711
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ISSN:0031-3203
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Container-title:Pattern Recognition
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language:en
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Short-container-title:Pattern Recognition
Author:
Yang WenwuORCID,
Yu Jinyi,
Chen Tuo,
Liu Zhenguang,
Wang Xun,
Shen JianbingORCID
Reference48 articles.
1. Timid semi–supervised learning for face expression analysis;Badea;Pattern Recognit.,2023
2. A discriminatively deep fusion approach with improved conditional GAN (im-cGAN) for facial expression recognition;Sun;Pattern Recognit.,2023
3. Improving the facial expression recognition and its interpretability via generating expression pattern-map;Zhang;Pattern Recognit.,2022
4. Joint recognition of basic and compound facial expressions by mining latent soft labels;Jiang;Pattern Recognit.,2024
5. S. Chopra, R. Hadsell, Y. LeCun, Learning a similarity metric discriminatively, with application to face verification, in: CVPR, 2005, pp. 539–546.