Semi-supervised semantic segmentation network for surface crack detection

Pavement defect detection with fully convolutional network and an uncertainty framework

(2020) Zheng Tong et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Ensemble of Deep Convolutional Neural Networks for Automatic Pavement Crack Detection and Measurement

(2020) Zhun Fan et al.   Coatings

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

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

Hybrid pixel-level concrete crack segmentation and quantification across complex backgrounds using deep learning

(2020) Dongho Kang et al.   AUTOMATION IN CONSTRUCTION

Automated pavement crack detection and segmentation based on two‐step convolutional neural network

(2020) Jingwei Liu et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Concrete roadway crack segmentation using encoder-decoder networks with range images

(2020) Shanglian Zhou et al.   AUTOMATION IN CONSTRUCTION

Optimized deep encoder-decoder methods for crack segmentation

(2020) Jacob König et al.   DIGITAL SIGNAL PROCESSING

Automatic Crack Segmentation for UAV-Assisted Bridge Inspection

(2020) Yonas Zewdu Ayele et al.   Energies

Concrete crack detection using context‐aware deep semantic segmentation network

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

Concrete Cracks Detection Based on FCN with Dilated Convolution

(2019) Jianming Zhang et al.   Applied Sciences-Basel

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

(2019) Zhenqing Liu et al.   AUTOMATION IN CONSTRUCTION

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

A method of detecting the cracks of concrete undergo high-temperature

(2018) Lang Li et al.   CONSTRUCTION AND BUILDING MATERIALS

DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation

(2018) Guotai Wang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

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

(2018) Yang Xu et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

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

A novel machine learning-based algorithm to detect damage in high-rise building structures

(2017) Mohammad Hossein Rafiei et al.   STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS

Life-Cycle Performance of Deteriorating Structural Systems under Uncertainty: Review

(2016) Fabio Biondini et al.   JOURNAL OF STRUCTURAL ENGINEERING

Seed-Based Approach for Automated Crack Detection from Pavement Images

(2016) Yuxiao Zhou et al.   TRANSPORTATION RESEARCH RECORD

Life-Cycle Performance of Deteriorating Structural Systems under Uncertainty: Review

(2016) Fabio Biondini et al.   JOURNAL OF STRUCTURAL ENGINEERING

FoSA: F* Seed-growing Approach for crack-line detection from pavement images

(2011) Qingquan Li et al.   IMAGE AND VISION COMPUTING

Evaluating Pavement Cracks with Bidimensional Empirical Mode Decomposition

(2008) Albert Ayenu-Prah et al.   EURASIP Journal on Advances in Signal Processing