Improved Vision-Based Vehicle Detection and Classification by Optimized YOLOv4

被引：0
|
作者：
Zhao, Jingyi [1 ]
Hao, Shengnan [1 ]
Dai, Chenxu [1 ]
Zhang, Haiyang [2 ]
Zhao, Li [3 ]
Ji, Zhanlin [1 ,4 ]
Ganchev, Ivan [4 ,5 ,6 ]
机构：
[1] North China University of Science and Technology, College of Artificial Intelligence, Tangshan,063210, China
[2] Xi'an Jiaotong-Liverpool University, Department of Computing, Suzhou,215000, China
[3] Research Institute of Information Technology, Tsinghua University, Beijing,100080, China
[4] University of Limerick, Telecommunications Research Centre (TRC), Limerick,V94 T9PX, Ireland
[5] University of Plovdiv Paisii Hilendarski, Department of Computer Systems, Plovdiv,4000, Bulgaria
[6] Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia,1040, Bulgaria
来源：
IEEE Access | 2022年 / 10卷
关键词：
Intelligent systems - Neural networks - Object recognition - Classification (of information) - Object detection - Vehicles - Three dimensional displays;
D O I：
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中图分类号：
学科分类号：
摘要：
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收藏
页码：8590 / 8603
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