3Detection of Urban Underground Sewage Pipeline Based on YOLOv5-Ghostnet Lightweight Model
Author:
Affiliation:
1. China West Normal University,CWNU,Nanchong,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10330801/10331922/10331973.pdf?arnumber=10331973
Reference11 articles.
1. Automated diagnosis of sewer pipe defects based on machine learning approaches
2. Research on small target detection algorithm based on single-stage network[D];Jie;University of Electronic Science and Technology of China,2022
3. A Review of Research on Two-Stage Target Detection Algorithms[C];Yuzhe
4. Yolox: Exceeding yolo series in 2021[J];Ge,2021
5. An Improved YOLOv5 Network for Detection of Printed Circuit Board Defects
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