no code implementations • 17 Aug 2020 • Maryam Matin, Matias Valdenegro-Toro
In this paper we show that Bayesian Neural Networks, as approximated using MC-Dropout, MC-DropConnect, or an Ensemble, are able to model the aleatoric uncertainty in facial emotion recognition, and produce output probabilities that are closer to what a human expects.