Deep Multi-Task Learning for Joint Prediction of Heterogeneous Face Attributes

Article Details
Title:	Deep Multi-Task Learning for Joint Prediction of Heterogeneous Face Attributes
Article URLs:	https://doi.org/10.1109/FG.2017.30 http://doi.ieeecomputersociety.org/10.1109/FG.2017.30
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Authors:	Fang Wang	CAS, Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences CAS, Institute of Computing Technology University of Chinese Academy of Sciences, Beijing 100049, China
	Hu Han	CAS, Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences CAS, Institute of Computing Technology
	Shiguang Shan	CAS, Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences CAS, Institute of Computing Technology University of Chinese Academy of Sciences, Beijing 100049, China CAS, Center for Excellence in Brain Science and Intelligence Technology
	Xilin Chen	CAS, Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences CAS, Institute of Computing Technology Institute of Computing Technology, CAS, Beijing 100190, China
Sharing:	Unknown
Verification:	Authors have not verified information
Artifact Evaluation Badge:	none
Artifact URLs:	https://github.com/seetaface
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NSF Award Numbers:
DBLP Key:	conf/fgr/WangHSC17
Author Comments:

IEEE Face and Gesture Recognition, FG 2017