3D-Aided Dual-Agent GANs for Unconstrained Face Recognition

Journal name: IEEE Transactions on Pattern Analysis and Machine Intelligence 41

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Summary, etc.：: Synthesizing realistic profile faces is beneficial for more efficiently training deep pose-invariant models for large-scale unconstrained face recogni...

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Material Type: 記事
Title: 3D-Aided Dual-Agent GANs for Unconstrained Face Recognition
Author Heading: Jian Zhao
https://orcid.org/0000-0002-3508-756x
Lin Xiong
https://orcid.org/0000-0003-3545-227x
Jianshu Li
https://orcid.org/0000-0001-8554-6886
Junliang Xing
https://orcid.org/0000-0001-6801-0510
Shuicheng Yan
Jiashi Feng
https://orcid.org/0000-0001-6843-0064
Publication Date: 2019-10-01
Publication Date (W3CDTF): 2019-10-01
Periodical title: IEEE Transactions on Pattern Analysis and Machine Intelligence
No. or year of volume/issue: 41
Volume: 41
Pages: 2380-2394
Publication date of volume/issue (W3CDTF): 2019-10-01
ISSN (Periodical Title): 01628828
Publication (Periodical Title): Institute of Electrical and Electronics Engineers (IEEE)
Subject Heading: Deep Learning
Imaging, Three-Dimensional
Databases, Factual
Biometric Identification
Face
Humans
Target Audience: 一般
Standard No. (Other): PMID : 30040629
DOI: 10.1109/tpami.2018.2858819
Data Provider (Database): 国立情報学研究所 : CiNii Research
https://cir.nii.ac.jp/
Original Data Provider (Database)