Automatic emotion analysis from faces in-the-wild
Автор: Antoine Toisoul
Загружено: 2021-01-11
Просмотров: 7458
Описание:
We present a novel neural network architecture to estimate categorical emotions (e.g., happiness, sadness, anger…) and continuous emotions in terms of valence (how positive or negative the state of mind is) and arousal (how calming or exciting the experience is) with an unprecedented level of accuracy. In addition, our network is able to estimate facial landmarks at no additional cost and is suitable for real-time applications.
For full details please read our "Estimation of continuous valence and arousal levels from faces in naturalistic conditions" by Antoine Toisoul, Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos and Maja Pantic published at Nature Machine Intelligence, January 2021 : https://www.nature.com/articles/s4225....
A full-text view only version of the paper is available here : https://rdcu.be/cdnWi
Work done in collaboration between Samsung AI Center Cambridge and Imperial College London.
The testing code and models trained on the AffectNet dataset are available on our github page : https://github.com/face-analysis/emonet.
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