Bayesian Classification of Affordances from RGB Images

Abstract

We propose a Bayesian classification model using Deep Ensembles (DE) and MC-Dropout (MC-D) to predict affordances from RGB images. Our Bayesian model obtains a higher performance than previous works and captures the aleatoric and epistemic uncertainty, showing consistency with the type of objects and scenarios.