Automatic Tunnel Crack Detection Based on U-Net and a Convolutional Neural Network with Alternately Updated Clique

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Computer vision-based concrete crack detection using U-net fully convolutional networks

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Automatic recognition of asphalt pavement cracks using metaheuristic optimized edge detection algorithms and convolution neural network

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NB-CNN: Deep Learning-Based Crack Detection Using Convolutional Neural Network and Naïve Bayes Data Fusion

(2018) Fu-Chen Chen et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Unified Approach to Pavement Crack and Sealed Crack Detection Using Preclassification Based on Transfer Learning

(2018) Kaige Zhang et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Deep Learning–Based Fully Automated Pavement Crack Detection on 3D Asphalt Surfaces with an Improved CrackNet

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Surface fatigue crack identification in steel box girder of bridges by a deep fusion convolutional neural network based on consumer-grade camera images

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Deep learning based image recognition for crack and leakage defects of metro shield tunnel

(2018) Hong-wei Huang et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Automatic Pixel-Level Crack Detection and Measurement Using Fully Convolutional Network

(2018) Xincong Yang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Comparison of deep convolutional neural networks and edge detectors for image-based crack detection in concrete

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Automatic Pavement Crack Detection by Multi-Scale Image Fusion

(2018) Haifeng Li et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Past, present and future of robotic tunnel inspection

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Wireless Multimedia Sensor Network Based Subway Tunnel Crack Detection Method

(2015) Bo Shen et al.   International Journal of Distributed Sensor Networks

Automatic Crack Detection and Classification Method for Subway Tunnel Safety Monitoring

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