Interpretable Deep Neural Networks for Facial Expression and Dimensional Emotion Recognition in-the-wild

14 Oct 2019Valentin RicherDimitrios Kollias

In this project, we created a database with two types of annotations used in the emotion recognition domain : Action Units and Valence Arousal to try to achieve better results than with only one model. The originality of the approach is also based on the type of architecture used to perform the prediction of the emotions : a categorical Generative Adversarial Network... (read more)

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