Lightweight Road Damage Detection Method Based on Improved YOLOv8

被引：0
|
作者：
Xu, Tiefeng [1 ]
Huang, He [1 ,2 ]
Zhang, Hongmin [1 ]
Niu, Xiaofu [1 ]
机构：
[1] School of Electrical and Electronic Engineering, Chongqing University of Technology, Chongqing,400054, China
[2] China Merchants Chongqing Transportation Research and Design Institute Limited, Chongqing,400000, China
来源：
Computer Engineering and Applications | / 60卷 / 14期
关键词：
Complex scenes - Detection models - Feature information - Input features - Lightweight - Model pruning - Modeling parameters - Road damage - Road damage detection - YOLOv8n;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
29
引用
收藏
页码：175 / 186
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