Self-Supervised Exclusive-Inclusive Interactive Learning for Multi-Label Facial Expression Recognition in the Wild

IEEE Transactions on Circuits and Systems for Video Technology(2022)

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摘要
Facial Expression Recognition (FER) is a long-standing but challenging research problem in computer vision. Existing approaches mainly focus on single-label emotional prediction, which cannot handle the complex multi-label FER task because of the coupling behavior of multiple emotions on a single facial image. To this end, in this paper, we propose a novel Self-supervised Exclusive-Inclusive Inter...
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关键词
Task analysis,Databases,Training,Face recognition,Training data,Data models,Uncertainty
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