CurSeg: A pavement crack detector based on a deep hierarchical feature learning segmentation framework

Crack segmentation through deep convolutional neural networks and heterogeneous image fusion

(2021) Shanglian Zhou et al.   AUTOMATION IN CONSTRUCTION

Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer learning

(2021) Dimitris Dais et al.   AUTOMATION IN CONSTRUCTION

Mixed pooling and richer attention feature fusion for crack detection

(2021) Qiang Zhou et al.   PATTERN RECOGNITION LETTERS

Deep learning in the COVID-19 epidemic: A deep model for urban traffic revitalization index

(2021) Zhiqiang Lv et al.   DATA & KNOWLEDGE ENGINEERING

CrackW-Net: A Novel Pavement Crack Image Segmentation Convolutional Neural Network

(2021) Chengjia Han et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Automated Pavement Crack Damage Detection Using Deep Multiscale Convolutional Features

(2020) Weidong Song et al.   JOURNAL OF ADVANCED TRANSPORTATION

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

(2020) Gang Li et al.   SENSORS

Automatic detection method of cracks from concrete surface imagery using two‐step light gradient boosting machine

(2020) Pang‐jo Chun et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Pavement crack detection network based on pyramid structure and attention mechanism

(2020) Xuezhi Xiang et al.   IET Image Processing

Crack damage identification and localization on metro train bogie frame in IoT using Guided Waves

(2020) Ye Zhang et al.   IET Intelligent Transport Systems

CrackU-net: A novel deep convolutional neural network for pixelwise pavement crack detection

(2020) Ju Huyan et al.   Structural Control & Health Monitoring

Crack Detection from a Concrete Surface Image Based on Semantic Segmentation Using Deep Learning

(2020) Tatsuro Yamane et al.   Journal of Advanced Concrete Technology

Machine Learning for Crack Detection: Review and Model Performance Comparison

(2020) Yung-An Hsieh et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

CrackGAN: Pavement Crack Detection Using Partially Accurate Ground Truths Based on Generative Adversarial Learning

(2020) Kaige Zhang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Guided Co-Segmentation Network for Fast Video Object Segmentation

(2020) Weide Liu et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation

(2020) Jiahua Dong et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

Automatic pixel-level multiple damage detection of concrete structure using fully convolutional network

(2019) Shengyuan Li et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Concrete crack detection using context‐aware deep semantic segmentation network

(2019) Xinxiang Zhang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Image-based concrete crack detection in tunnels using deep fully convolutional networks

(2019) Yupeng Ren et al.   CONSTRUCTION AND BUILDING MATERIALS

Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection

(2019) Fan Yang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

SDDNet: Real-Time Crack Segmentation

(2019) Wooram Choi et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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

Automated region-of-interest localization and classification for vision-based visual assessment of civil infrastructure

(2018) Chul Min Yeum et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Deep Learning Based Inference of Private Information Using Embedded Sensors in Smart Devices

(2018) Yi Liang et al.   IEEE NETWORK

Automatic Pavement Crack Detection by Multi-Scale Image Fusion

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

Metal artifact reduction on cervical CT images by deep residual learning

(2018) Xia Huang et al.   Biomedical Engineering Online

Multi-scale classification network for road crack detection

(2018) Hui Feng et al.   IET Intelligent Transport Systems

DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection

(2018) Qin Zou et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Automatic Detection of Wind Turbine Blade Surface Cracks Based on UAV-Taken Images

(2017) Long Wang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Automated Crack Detection on Concrete Bridges

(2016) Prateek Prasanna et al.   IEEE Transactions on Automation Science and Engineering

Automatic Road Crack Detection Using Random Structured Forests

(2016) Yong Shi et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Road Crack Detection Using Visual Features Extracted by Gabor Filters

(2013) Eduardo Zalama et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

CrackTree: Automatic crack detection from pavement images

(2011) Qin Zou et al.   PATTERN RECOGNITION LETTERS