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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Expert systems with applications Ročník 198; s. 116792
Hlavní autoři:	Kim, Yu Hwan, Nam, Se Hyun, Hong, Seung Baek, Park, Kang Ryoung
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Elsevier Ltd 15.07.2022 Elsevier BV
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!