Research on Road Vehicle Detection based on improved Yolov5s-Reference-Cited by-同舟云学术

Research on Road Vehicle Detection based on improved Yolov5s

Published:2022-08-07 Issue: Volume: Page:
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Container-title:2022 IEEE International Conference on Mechatronics and Automation (ICMA)
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Author:

Shao Lei¹,Fan Zhenqiang¹,Li Ji¹,Liu Hongli¹

Affiliation:

1. Tianjin University of Technology Binshui Xidao 391,Tianjin Key Laboratory for Control Theory & Application in Complicated Systems School of Electrical Engineering and Automation,Tianjin,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9855896/9855897/09856288.pdf?arnumber=9856288

Reference11 articles.

1. Yolov5[EB/OL];jocher,2020

2. Road vehicle tracking algorithm based on improved YOLOv5;zhang;Journal of Guangxi Normal University (Natural Science Edition),2022

3. Squeeze-and-Excitation Networks;jie;IEEE Transactions on Pattern Analysis and Machine Intelligence,2017

4. Improved Faster R-CNN Algorithm and its Application in Vehicle Detection;wei;Chinese J Appl Sci,2020

5. Cbam: Convolutional block attention module;woo;Proceedings of the European Conference on Computer Vision (ECCV),2018

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