Research on Reducing Facial Masking Interference in Facial Recognition Based on Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Research on Reducing Facial Masking Interference in Facial Recognition Based on Convolutional Neural Networks

Published:2024-04-26 Issue: Volume:10 Page:680-684
ISSN:
Container-title:Proceedings of the 5th International Conference on Computer Information and Big Data Applications
language:
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Author:

Zhou Mingrui¹^ORCID,Chen Xiangyu¹^ORCID,Zhang Weiming¹^ORCID

Affiliation:

1. Wuhan Donghu University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3671151.3671272

Reference11 articles.

1. A survey on detection of face mask and social distancing using deep learning i-manager's;Dhanushkodi K;J Inf Technol.,2021

2. Masked face recognition with convolutional neural networks and local binary patterns

3. End2End Occluded Face Recognition by Masking Corrupted Features

4. Facial Recognition System for People with and without Face Mask in Times of the COVID-19 Pandemic

5. Moving scene-based video segmentation using fast convolutional neural network integration of VGG-16 net deep learning architecture

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