Mask Wearing Detection in Dim Lighting Conditions based on Improved YOLOv5
Author:
Affiliation:
1. Zhengzhou University, China
2. PLA Information Engineering University, China
3. Central China Normal University, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3592307.3592315
Reference21 articles.
1. Deep Bidirectional Classification Model for COVID-19 Disease Infected Patients
2. Development of a face mask detection pipeline for mask-wearing monitoring in the era of the COVID-19 pandemic: A modular approach
3. Detection of Face Mask Wearing for COVID-19 Protection based on Transfer Learning and Classic CNN Model
4. Fast and Accurate Template Matching with Silhouette Masking
5. ImageNet classification with deep convolutional neural networks
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