SNCE-YOLO: An Improved Target Detection Algorithm in Complex Road Scenes

被引：0
|
作者：
Li, Fuxiang [1 ]
Zhao, Yuxin [1 ]
Wei, Jia [1 ]
Li, Shu [1 ,2 ]
Shan, Yunxiao [1 ]
机构：
[1] Harbin University of Science and Technology, School of Science, Harbin,150080, China
[2] Harbin University of Science and Technology, Key Laboratory of Engineering Dielectric and Applications, Ministry of Education, School of Electrical and Electronic Engineering, Harbin,150080, China
来源：
IEEE Access | 2024年 / 12卷
基金：
中国国家自然科学基金;
关键词：
Autonomous driving - C2f - EIOU - Feature information - Lower resolution - Normalisation - Normalization-based attention module - Space-to-depth convolution - Target detection algorithm - YOLOv5;
D O I：
10.1109/ACCESS.2024.3481642
中图分类号：
学科分类号：
摘要：
44
引用
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页码：152138 / 152151
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