Occlusion face detection is based on Yolov5s
Author:
Affiliation:
1. Hubei University of Police,Department of Information Technology
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9687823/9687857/09688319.pdf?arnumber=9688319
Reference24 articles.
1. Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks
2. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
3. Fast r-cnn;girshick;Proceedings of the IEEE International Conference on Computer Vision,2015
4. Faster r-cnn: Towards real-time object detection with region proposal networks;ren;Proceedings of the Advances in Neural Information Processing Systems,2015
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1. An Accurate and Efficient Crowd Detection Model for Smart Energy Management Based on YOLOv5;2022 IEEE International Conference on Unmanned Systems (ICUS);2022-10-28
2. Lightweight Yolov5s Traffic Sign Recognition Algorithm Based on Channel Transformation;Computer Science and Application;2022
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