标题/作者	年份
Autonomous concrete crack detection using deep fully convolutional neural network CV Dung Automation in Construction 99, 52-58	2019
Road damage detection and classification using deep neural networks with smartphone images H Maeda, Y Sekimoto, T Seto, T Kashiyama, H Omata Computer‐Aided Civil and Infrastructure Engineering 33 (12), 1127-1141	2018
Data-driven structural health monitoring and damage detection through deep learning: State-of-the-art review M Azimi, AD Eslamlou, G Pekcan Sensors 20 (10), 2778	2020
Convolutional neural network‐based data anomaly detection method using multiple information for structural health monitoring Z Tang, Z Chen, Y Bao, H Li Structural Control and Health Monitoring 26 (1), e2296	2019
A review on deep learning-based structural health monitoring of civil infrastructures XW Ye, T Jin, CB Yun Smart Struct. Syst 24 (5), 567-585	2019
A systematic review of convolutional neural network-based structural condition assessment techniques S Sony, K Dunphy, A Sadhu, M Capretz Engineering Structures 226, 111347	2021
CrackU‐net: A novel deep convolutional neural network for pixelwise pavement crack detection J Huyan, W Li, S Tighe, Z Xu, J Zhai Structural Control and Health Monitoring 27 (8), e2551	2020
Machine learning for crack detection: Review and model performance comparison YA Hsieh, YJ Tsai Journal of Computing in Civil Engineering 34 (5), 04020038	2020
Deep machine learning approach to develop a new asphalt pavement condition index H Majidifard, Y Adu-Gyamfi, WG Buttlar Construction and building materials 247, 118513	2020
Deep learning in data-driven pavement image analysis and automated distress detection: A review K Gopalakrishnan Data 3 (3), 28	2018
Robust pixel-level crack detection using deep fully convolutional neural networks M Alipour, DK Harris, GR Miller Journal of Computing in Civil Engineering 33 (6), 04019040	2019
Performance evaluation of deep CNN-based crack detection and localization techniques for concrete structures L Ali, F Alnajjar, HA Jassmi, M Gocho, W Khan, MA Serhani Sensors 21 (5), 1688	2021
Crack detection and segmentation using deep learning with 3D reality mesh model for quantitative assessment and integrated visualization R Kalfarisi, ZY Wu, K Soh Journal of Computing in Civil Engineering 34 (3), 04020010	2020
Patch-based crack detection in black box images using convolutional neural networks S Park, S Bang, H Kim, H Kim Journal of Computing in Civil Engineering 33 (3), 04019017	2019
Structural damage detection using deep convolutional neural network and transfer learning C Feng, H Zhang, S Wang, Y Li, H Wang, F Yan KSCE Journal of Civil Engineering 23, 4493-4502	2019
Pavement image datasets: A new benchmark dataset to classify and densify pavement distresses H Majidifard, P Jin, Y Adu-Gyamfi, WG Buttlar Transportation Research Record 2674 (2), 328-339	2020
CrackGAN: Pavement crack detection using partially accurate ground truths based on generative adversarial learning K Zhang, Y Zhang, HD Cheng IEEE Transactions on Intelligent Transportation Systems 22 (2), 1306-1319	2020
Vision-based autonomous crack detection of concrete structures using a fully convolutional encoder–decoder network MMM Islam, JM Kim Sensors 19 (19), 4251	2019
Increasing the robustness of material-specific deep learning models for crack detection across different materials M Alipour, DK Harris Engineering Structures 206, 110157	2020
Crack detection of concrete pavement with cross-entropy loss function and improved VGG16 network model Z Qu, J Mei, L Liu, DY Zhou Ieee Access 8, 54564-54573	2020

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