Facial Attribute Recognition With Feature Decoupling and Graph Convolutional Networks

Facial Attribute Recognition With Feature Decoupling and Graph Convolutional Networks

The objective of facial attribute recognition is to predict a set of labels for each face image. Similar to general multi-label image classification task, facial attribute recognition suffers from several typical problems: discriminative feature learning, handling the correlations among attributes,...

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Bibliographic Details
Main Authors: Fudong Nian, Xia Chen, Shimeng Yang, Gang Lv
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Facial attribute recognition
graph convolutional networks
feature representation
multi-label learning
attribute correlation
Online Access:https://ieeexplore.ieee.org/document/8747501/

Internet

https://ieeexplore.ieee.org/document/8747501/

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