DeepGender: Occlusion and Low Resolution Robust Facial Gender Classification via Progressively Trained Convolutional Neural Networks with Attention-Reference-Cited by-同舟云学术

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DeepGender: Occlusion and Low Resolution Robust Facial Gender Classification via Progressively Trained Convolutional Neural Networks with Attention

Published:2016-06 Issue: Volume: Page:
ISSN:
Container-title:2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

Juefei-Xu Felix,Verma Eshan,Goel Parag,Cherodian Anisha,Savvides Marios

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7784518/7789490/07789514.pdf?arnumber=7789514

Cited by 29 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Facial mask-wearing prediction and adaptive gender classification using convolutional neural networks;EAI Endorsed Transactions on Industrial Networks and Intelligent Systems;2024-03-13

2. Unconstrained Gender Recognition from Periocular Region Using Multiscale Deep Features;Intelligent Automation & Soft Computing;2023

3. Facial Expression Recognition in the Wild Using Face Graph and Attention;IEEE Access;2023

4. Facial Expression Recognition from Occluded Images Using Deep Convolution Neural Network with Vision Transformer;Lecture Notes in Computer Science;2023

5. Gender and ethnicity recognition based on visual attention-driven deep architectures;Journal of Visual Communication and Image Representation;2022-10

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