A Deep Neural Network Tool for Automatic Segmentation of Human Body Parts in Natural Scenes

Patrick McClure, Gabrielle Reimann, Michal Ramot, Francisco Pereira

Research output: Contribution to journalArticle

Abstract

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.
Original languageEnglish
Article number2009.09900
Number of pages4
JournalarXiv
StatePublished Online - 8 Sep 2020
Externally publishedYes

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