  This short article describes a deep neural network trained to perform
automatic segmentation of human body parts in natural scenes. More
specifically, we trained a Bayesian SegNet with concrete dropout on the
Pascal-Parts dataset to predict whether each pixel in a given frame was part of
a person's hair, head, ear, eyebrows, legs, arms, mouth, neck, nose, or torso.
