A Survey of CNN and Facial Recognition Methods in the Age of COVID-19∗-Reference-Cited by-同舟云学术

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A Survey of CNN and Facial Recognition Methods in the Age of COVID-19∗

Published:2021-05-27 Issue: Volume: Page:
ISSN:
Container-title:2021 the 5th International Conference on Information System and Data Mining
language:
Short-container-title:

Author:

Chidumije Adinma¹,Gowher Fatima¹,Kamalinejad Ehsan¹,Mercado Justin¹,Soni Jiwanjot¹,Zhong Jiaofei¹

Affiliation:

1. California State University East Bay, USA

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3471287.3471292

Reference18 articles.

1. Jain A.K. and Li S.Z. 2011. Handbook of face recognition Vol. 1 New York: springer. Jain A.K. and Li S.Z. 2011. Handbook of face recognition Vol. 1 New York: springer.

2. Cheong J.H. Brooks S. and Chang L.J. 2019. FaceSync: Open source framework for recording facial expressions with head-mounted cameras. F1000Research 8. Cheong J.H. Brooks S. and Chang L.J. 2019. FaceSync: Open source framework for recording facial expressions with head-mounted cameras. F1000Research 8.

3. ImageNet classification with deep convolutional neural networks

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