A Lightweight Bridge Surface Damage Detection Method Based on YOLOv7

Author:

Xiong Yuanjun1,Zhang Tingping1,Jiang Shixin1,Du Pingxi1

Affiliation:

1. School of Information Science and Engineering, Chongqing Jiaotong University,Chongqing,China

Publisher

IEEE

Reference22 articles.

1. The Ministry of Transport issued the 2021 Statistical Bulletin on the Development of Transportation Industry;Fou;Waterway Port,2022

2. Cause analysis of highway bridge disease and maintenance treatment measures;Haiwen;Traffic World,2022

3. Research on Automatic Recognition Method of Apparent Diseases of Bridge Steel Structure Based on YOLOv4;Xinhua;Highway,2016

4. A Lightweight Road Crack and Damage Detection Method Using Yolov5s for IoT Applications

5. Bridge apparent disease recognition based on improved YOLO v3 algorithm under complex background;Junzhi;Journal of Railway Science and Engineering,2021

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