A Deep Learning Based Light-Weight Face Mask Detector With Residual Context Attention and Gaussian Heatmap to Fight Against COVID-19-Reference-Cited by-同舟云学术

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A Deep Learning Based Light-Weight Face Mask Detector With Residual Context Attention and Gaussian Heatmap to Fight Against COVID-19

Published:2021 Issue: Volume:9 Page:96964-96974
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Fan Xinqi^ORCID,Jiang Mingjie,Yan Hong^ORCID

Funder

Innovation and Technology Commission of Hong Kong

City University of Hong Kong

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09475521.pdf?arnumber=9475521

Cited by 34 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. G-YOLOv5: A Face Mask Detector That Balances Effectiveness and Real-Time;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. FGENet: a lightweight facial expression recognition algorithm based on FasterNet;Signal, Image and Video Processing;2024-06-03

3. Brief Review of Deep Learning Techniques employed in Face Mask Classification;2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA);2024-03-15

4. Enhancing Facial Recognition Accuracy and Efficiency Through Integrated CNN, PCA, and SVM Techniques;Lecture Notes in Networks and Systems;2024

5. Human-robot interactions with an autonomous health screening robot in long-term care settings;Advanced Robotics;2023-12-17

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