An Occam's Razor View on Learning Audiovisual Emotion Recognition with Small Training Sets

8 Aug 2018Valentin VielzeufCorentin KervadecStéphane PateuxAlexis LechervyFrédéric Jurie

This paper presents a light-weight and accurate deep neural model for audiovisual emotion recognition. To design this model, the authors followed a philosophy of simplicity, drastically limiting the number of parameters to learn from the target datasets, always choosing the simplest earning methods: i) transfer learning and low-dimensional space embedding allows to reduce the dimensionality of the representations... (read more)

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