Search Results for author:
Found 1 papers, 0 papers with code
Hey Human, If your Facial Emotions are Uncertain, You Should Use Bayesian Neural Networks!
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.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
