Comparative Analysis of Deep Learning Architectures for Masked Face Recognition: A Study of Performance and Robustness-Reference-Cited by-同舟云学术

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Comparative Analysis of Deep Learning Architectures for Masked Face Recognition: A Study of Performance and Robustness

Published:2023-10-03 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Cyberworlds (CW)
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Author:

Muhi Omar Adel¹,Farhat Mariem²,Frikha Mondher²

Affiliation:

1. ATISP research unit École Nationale d’Électronique et de Télécommunications de Sfax (ENET’Com),Sfax,Tunisia

2. ATISP research unit The Higher Institute of Information Technologies and Communication (ISTIC),Tunis,Tunisia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10336928/10337517/10337576.pdf?arnumber=10337576

Reference30 articles.

1. Handbook of Face Recognition

2. The End of Moore's Law: A New Beginning for Information Technology

3. Classification of Illuminance Images Using Eigenface Technique

4. Facial Recognition Technology: Balancing the Benefits and Concerns;McClellan;J. Bus. & Tech. L,2019

5. NIST Special Database 302:

Cited by 1 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. Deep Learning-Based Interactive Dashboard for Enhancing Online Classroom Experience Through Student Emotion Analysis;IEEE Access;2024

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