研究论文
A subtle defect recognition method for catenary fastener in high-speed railroad using destruction and reconstruction learning
Fanteng Meng, Yong Qin, Yunpeng Wu, Changhong Shao, Limin Jia
Beijing Jiaotong University Kunming University of Science and Technology
来源Advanced Engineering Informatics
年份2024
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2.92
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学术脉络
学科主题
工程Infrastructure Maintenance and Monitoring
Industrial Vision Systems and Defect Detection · Non-Destructive Testing Techniques
参考文献 56
Part-Based R-CNNs for Fine-Grained Category Detection
被引 1,184Ning Zhang, Jeff Donahue, Ross Girshick · Lecture notes in computer science · 2014
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
被引 55,599Shaoqing Ren, Kaiming He, Ross Girshick · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2016
此处列出前 3 条
引用本文 17
Automatic risk level evaluation system for potential environmental hazards along high-speed railroad using UAV aerial photograph
被引 15Fanteng Meng, Yong Qin, Yunpeng Wu · Expert Systems with Applications · 2025
Automatic steel girder inspection system for high‐speed railway bridge using hybrid learning framework
被引 14Tao Xu, Yunpeng Wu, Yong Qin · Computer-Aided Civil and Infrastructure Engineering · 2024
Automated anomaly detection of catenary split pins using unsupervised learning
被引 11Yunpeng Wu, Fanteng Meng, Yong Qin · Automation in Construction · 2024
按被引量排序，此处列出前 3 条