Deep Learning-Based Gender Classification by Training With Fake Data

Deep Learning-Based Gender Classification by Training With Fake Data

Gender classification of human faces is a trending topic and a remarkable biometric task. This research area has useful applications in several fields, such as automated border control (ABC) and forensic work. There are many approaches to gender classification in the literature; the classical approa...

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Bibliographic Details
Main Authors: Mohamed Oulad-Kaddour, Hamid Haddadou, Cristina Conde Vilda, Daniel Palacios-Alonso, Karima Benatchba, Enrique Cabello
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Adversarial neural networks
convolutional neural networks
deep learning
fake faces
gender classification
Online Access:https://ieeexplore.ieee.org/document/10298216/

Internet

https://ieeexplore.ieee.org/document/10298216/

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