研究论文
Batched-image detection model and deployment method for tunnel lining defects using line-scan cameras based on experiments study
Shaojie Qin, Taiyue Qi, Bo Lei, Xiaodong Huang
Ministry of Transport Southwest Jiaotong University
来源Tunnelling and Underground Space Technology
年份2023
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逐年被引趋势
1050
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26
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25
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2.83
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同类平均 = 1
同类平均 = 1
前 9%
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同领域 · 同年份 · 同类型
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学术脉络
学科主题
工程Infrastructure Maintenance and Monitoring
Image and Object Detection Techniques · 3D Surveying and Cultural Heritage
参考文献 75
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
被引 54,823Shaoqing Ren, Kaiming He, Ross Girshick · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2016
Fast R-CNN
被引 28,118Ross Girshick · 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
被引 75,548Karen Simonyan, Andrew Zisserman · arXiv (Cornell University) · 2014
此处列出前 3 条
引用本文 25
Tunnel lining crack detection model based on improved YOLOv5
被引 78Shuqian Duan, Minghuan Zhang, Shili Qiu · Tunnelling and Underground Space Technology · 2024
Image segmentation using Vision Transformer for tunnel defect assessment
被引 50Shaojie Qin, Taiyue Qi, Deng Tang · Computer-Aided Civil and Infrastructure Engineering · 2024
A two-step deep learning-based framework for metro tunnel lining defect recognition
被引 43Yong Feng, Shi‐Jin Feng, Xiao-Lei Zhang · Tunnelling and Underground Space Technology · 2024
按被引量排序，此处列出前 3 条