Towards a General Deep Feature Extractor for Facial Expression Recognition. (arXiv:2201.07781v1 [cs.CV])

The human face conveys a significant amount of information. Through facial
expressions, the face is able to communicate numerous sentiments without the
need for verbalisation. Visual emotion recognition has been extensively
studied. Recently several end-to-end trained deep neural networks have been
proposed for this task. However, such models often lack generalisation ability
across datasets. In this paper, we propose the Deep Facial Expression Vector
ExtractoR (DeepFEVER), a new deep learning-based approach that learns a visual
feature extractor general enough to …

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