A Multi-Task Framework for Facial Attributes Classification through End-to-End Face Parsing and Deep Convolutional Neural Networks

A Multi-Task Framework for Facial Attributes Classification through End-to-End Face Parsing and Deep Convolutional Neural Networks

Human face image analysis is an active research area within computer vision. In this paper we propose a framework for face image analysis, addressing three challenging problems of race, age, and gender recognition through face parsing. We manually labeled face images for training an end-to-end face...

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Bibliographic Details
Main Authors: Khalil Khan, Muhammad Attique, Rehan Ullah Khan, Ikram Syed, Tae-Sun Chung
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Sensors
Subjects:
face image analysis
deep learning
face parsing
facial attributes classification
Online Access:https://www.mdpi.com/1424-8220/20/2/328

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