Related references
Note: Only part of the references are listed.Optimized deep encoder-decoder methods for crack segmentation
Jacob Konig et al.
DIGITAL SIGNAL PROCESSING (2021)
Pavement defect detection with fully convolutional network and an uncertainty framework
Zheng Tong et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2020)
Image-based concrete crack detection in tunnels using deep fully convolutional networks
Yupeng Ren et al.
CONSTRUCTION AND BUILDING MATERIALS (2020)
Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection
Fan Yang et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2020)
Ensemble of Deep Convolutional Neural Networks for Automatic Pavement Crack Detection and Measurement
Zhun Fan et al.
COATINGS (2020)
CrackU-net: A novel deep convolutional neural network for pixelwise pavement crack detection
Huyan Ju et al.
STRUCTURAL CONTROL & HEALTH MONITORING (2020)
Hybrid pixel-level concrete crack segmentation and quantification across complex backgrounds using deep learning
Dongho Kang et al.
AUTOMATION IN CONSTRUCTION (2020)
Automated pavement crack detection and segmentation based on two-step convolutional neural network
Jingwei Liu et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2020)
Concrete roadway crack segmentation using encoder-decoder networks with range images
Shanglian Zhou et al.
AUTOMATION IN CONSTRUCTION (2020)
Automatic Crack Segmentation for UAV-Assisted Bridge Inspection
Yonas Zewdu Ayele et al.
ENERGIES (2020)
Convolutional Neural Network-Based Pavement Crack Segmentation Using Pyramid Attention Network
Wenjun Wang et al.
IEEE ACCESS (2020)
APLCNet: Automatic Pixel-Level Crack Detection Network Based on Instance Segmentation
Yuefei Zhang et al.
IEEE ACCESS (2020)
A spatial-channel hierarchical deep learning network for pixel-level automated crack detection
Yue Pan et al.
AUTOMATION IN CONSTRUCTION (2020)
Multiscale and Adversarial Learning-Based Semi-Supervised Semantic Segmentation Approach for Crack Detection in Concrete Structures
Seungbo Shim et al.
IEEE ACCESS (2020)
Semi-Supervised Semantic Segmentation Using Adversarial Learning for Pavement Crack Detection
Gang Li et al.
IEEE ACCESS (2020)
Automated Pavement Crack Segmentation Using U-Net-Based Convolutional Neural Network
Stephen L. H. Lau et al.
IEEE ACCESS (2020)
DeeplGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation
Guotai Wang et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2019)
Surface fatigue crack identification in steel box girder of bridges by a deep fusion convolutional neural network based on consumer-grade camera images
Yang Xu et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2019)
Concrete crack detection using context-aware deep semantic segmentation network
Xinxiang Zhang et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2019)
Concrete Cracks Detection Based on FCN with Dilated Convolution
Jianming Zhang et al.
APPLIED SCIENCES-BASEL (2019)
Computer vision-based concrete crack detection using U-net fully convolutional networks
Zhenqing Liu et al.
AUTOMATION IN CONSTRUCTION (2019)
Robust Concrete Crack Detection Using Deep Learning-Based Semantic Segmentation
Donghan Lee et al.
INTERNATIONAL JOURNAL OF AERONAUTICAL AND SPACE SCIENCES (2019)
A method of detecting the cracks of concrete undergo high-temperature
Lang Li et al.
CONSTRUCTION AND BUILDING MATERIALS (2018)
Deep learning based image recognition for crack and leakage defects of metro shield tunnel
Hong-wei Huang et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2018)
Automatic Pixel-Level Crack Detection and Measurement Using Fully Convolutional Network
Xincong Yang et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2018)
A novel machine learning-based algorithm to detect damage in high-rise building structures
Mohammad Hossein Rafiei et al.
STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS (2017)
Life-Cycle Performance of Deteriorating Structural Systems under Uncertainty: Review
Fabio Biondini et al.
JOURNAL OF STRUCTURAL ENGINEERING (2016)
Seed-Based Approach for Automated Crack Detection from Pavement Images
Yuxiao Zhou et al.
TRANSPORTATION RESEARCH RECORD (2016)
Life-Cycle Performance of Deteriorating Structural Systems under Uncertainty: Review
Fabio Biondini et al.
JOURNAL OF STRUCTURAL ENGINEERING (2016)
FoSA: F* Seed-growing Approach for crack-line detection from pavement images
Qingquan Li et al.
IMAGE AND VISION COMPUTING (2011)
Evaluating pavement cracks with bidimensional empirical mode decomposition
Albert Ayenu-Prah et al.
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING (2008)
The importance of the loss function in option valuation
P Christoffersen et al.
JOURNAL OF FINANCIAL ECONOMICS (2004)