DeepGender2: A Generative Approach Toward Occlusion and Low-Resolution Robust Facial Gender Classification via Progressively Trained Attention Shift Convolutional Neural Networks (PTAS-CNN) and Deep Convolutional Generative Adversarial Networks (DCGAN)-Reference-Cited by-同舟云学术

DeepGender2: A Generative Approach Toward Occlusion and Low-Resolution Robust Facial Gender Classification via Progressively Trained Attention Shift Convolutional Neural Networks (PTAS-CNN) and Deep Convolutional Generative Adversarial Networks (DCGAN)

Published:2017 Issue: Volume: Page:183-218
ISSN:2191-6586
Container-title:Deep Learning for Biometrics
language:
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Author:

Juefei-Xu Felix,Verma Eshan,Savvides Marios

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-61657-5_8

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