GRA-GAN: Generative adversarial network for image style transfer of Gender, Race, and age

•Generating gender, age, and race images based on information fusion in GRA-GAN.•Element-wise multiplication of the image gradient is performed in the decoder.•Unidirectional training was configured for forward and backward directions.•For training, fusing the race and gender tasks, and configuring...

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Bibliographic Details
Published in:	Expert systems with applications Vol. 198; p. 116792
Main Authors:	Kim, Yu Hwan, Nam, Se Hyun, Hong, Seung Baek, Park, Kang Ryoung
Format:	Journal Article
Language:	English
Published:	New York Elsevier Ltd 15.07.2022 Elsevier BV
Subjects:	Age Age estimation and classification of race and gender Channel-wise and multiplication-based information fusion of encoder and decoder features Chronology Coders Data integration Facial image transformation Gender Generative adversarial networks GRA-GAN Multiplication Object recognition Race Facial image transformation Age estimation and classification of race and gender GRA-GAN Channel-wise and multiplication-based information fusion of encoder and decoder features
ISSN:	0957-4174, 1873-6793
Online Access:	Get full text
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