Mask wearing Detection Based on Improved YOLOv3
Author:
Affiliation:
1. Chongqing University of Technology,School of Artificial Intelligence,Chongqing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9718566/9718568/09718884.pdf?arnumber=9718884
Reference13 articles.
1. Real-Time Pedestrian Detection Using Convolutional Neural Networks
2. YOLOv3: An Incremental Improvement;rwwmon;Technical Report,2018
3. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
4. A Survey on Performance Metrics for Object-Detection Algorithms
5. Faster R-CNN:Towards real-time object detection with region proposal networks;ren;Proceedings of the IEEE Transactions on Pattern Analysis&Machine Intelligence,2015
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