A multi-objective traffic flow detection system based on an improved yolov4 algorithm
Author:
Affiliation:
1. Leeds College of Southwest Jiaotong University,Chengdu,China
2. Engineering Hebei University of Technology,College of Electronic and Information,Tianjin,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10090478/10090479/10090516.pdf?arnumber=10090516
Reference5 articles.
1. Study on the Evaluation Method of Sound Phase Cloud Maps Based on an Improved YOLOv4 Algorithm
2. A real-time detection approach for bridge cracks based on YOLOv4-FPM
3. Modern Information Technology;zirui;YOLOv4-based vehicle detection and flow statistics research,2020
4. Real-time object detection method based on improved YOLOv4-tiny[J];jiang;arXiv preprint arXiv 2011 00177,2020
5. Yolov4: Optimal speed and accuracy of object detection[J];bochkovskiy;arXiv preprint arXiv 2004 10934,2020
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