4.7 Article

Pavement defect detection with fully convolutional network and an uncertainty framework

Related references

Note: Only part of the references are listed.
Article Engineering, Multidisciplinary

Crack and Noncrack Classification from Concrete Surface Images Using Machine Learning

Hyunjun Kim et al.

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2019)

Article Construction & Building Technology

Autonomous concrete crack detection using deep fully convolutional neural network

Cao Vu Dung et al.

AUTOMATION IN CONSTRUCTION (2019)

Article Engineering, Electrical & Electronic

Automatic blur type classification via ensemble SVM

Rui Wang et al.

SIGNAL PROCESSING-IMAGE COMMUNICATION (2019)

Article Construction & Building Technology

Recognition of asphalt pavement crack length using deep convolutional neural networks

Zheng Tong et al.

ROAD MATERIALS AND PAVEMENT DESIGN (2018)

Article Computer Science, Interdisciplinary Applications

Deep Transfer Learning for Image-Based Structural Damage Recognition

Yuqing Gao et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2018)

Article Computer Science, Interdisciplinary Applications

A Fast Detection Method via Region-Based Fully Convolutional Neural Networks for Shield Tunnel Lining Defects

Yadong Xue et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2018)

Article Construction & Building Technology

Autonomous microscopic bunch inspection using region-based deep learning for evaluating graphite powder dispersion

Hai Liu et al.

CONSTRUCTION AND BUILDING MATERIALS (2018)

Article Construction & Building Technology

Innovative method for recognizing subgrade defects based on a convolutional neural network

Zheng Tong et al.

CONSTRUCTION AND BUILDING MATERIALS (2018)

Article Engineering, Civil

A novel unsupervised deep learning model for global and local health condition assessment of structures

Mohammad Hossein Rafiei et al.

ENGINEERING STRUCTURES (2018)

Article Computer Science, Artificial Intelligence

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Liang-Chieh Chen et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2018)

Article Computer Science, Artificial Intelligence

Regional parallel structure based CNN for thermal infrared face identification

Peng Wang et al.

INTEGRATED COMPUTER-AIDED ENGINEERING (2018)

Article Computer Science, Artificial Intelligence

Vehicle type detection by ensembles of convolutional neural networks operating on super resolved images

Miguel A. Molina-Cabello et al.

INTEGRATED COMPUTER-AIDED ENGINEERING (2018)

Article Computer Science, Artificial Intelligence

Evidential box particle filter using belief function theory

Tuan Anh Tran et al.

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2018)

Article Computer Science, Artificial Intelligence

Identification of elastic properties in the belief function framework

Liqi Sui et al.

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2018)

Article Computer Science, Interdisciplinary Applications

Convolutional Neural Network for Asphalt Pavement Surface Texture Analysis

Zheng Tong et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2018)

Article Computer Science, Interdisciplinary Applications

Damage Classification for Masonry Historic Structures Using Convolutional Neural Networks Based on Still Images

Niannian Wang et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2018)

Article Computer Science, Interdisciplinary Applications

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

Xincong Yang et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2018)

Proceedings Paper Computer Science, Theory & Methods

A step loss function based SVM classifier for binary classification

Fethi Jarray et al.

9TH INTERNATIONAL CONFERENCE ON EMERGING UBIQUITOUS SYSTEMS AND PERVASIVE NETWORKS (EUSPN-2018) / 8TH INTERNATIONAL CONFERENCE ON CURRENT AND FUTURE TRENDS OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN HEALTHCARE (ICTH-2018) (2018)

Article Computer Science, Interdisciplinary Applications

Autonomous Structural Visual Inspection Using Region-Based Deep Learning for Detecting Multiple Damage Types

Young-Jin Cha et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2018)

Article Computer Science, Interdisciplinary Applications

Pavement Crack Width Measurement Based on Laplace's Equation for Continuity and Unambiguity

Wenjuan Wang et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2018)

Article Computer Science, Artificial Intelligence

Learning Pooling for Convolutional Neural Network

Manli Sun et al.

NEUROCOMPUTING (2017)

Article Construction & Building Technology

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)

Article Computer Science, Interdisciplinary Applications

Automated Pixel-Level Pavement Crack Detection on 3D Asphalt Surfaces Using a Deep-Learning Network

Allen Zhang et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2017)

Article Construction & Building Technology

Recognition, location, measurement, and 3D reconstruction of concealed cracks using convolutional neural networks

Zheng Tong et al.

CONSTRUCTION AND BUILDING MATERIALS (2017)

Article Computer Science, Interdisciplinary Applications

Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks

Young-Jin Cha et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2017)

Article Construction & Building Technology

Supervised Deep Restricted Boltzmann Machine for Estimation of Concrete

Mohammad Hossein Rafiei et al.

ACI MATERIALS JOURNAL (2017)

Article Computer Science, Artificial Intelligence

Region-Based Convolutional Networks for Accurate Object Detection and Segmentation

Ross Girshick et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2016)

Article Computer Science, Artificial Intelligence

Rank-based pooling for deep convolutional neural networks

Zenglin Shi et al.

NEURAL NETWORKS (2016)

Review Multidisciplinary Sciences

Deep learning

Yann LeCun et al.

NATURE (2015)

Proceedings Paper Computer Science, Artificial Intelligence

Fast R-CNN

Ross Girshick

2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)

Proceedings Paper Computer Science, Artificial Intelligence

Multi-view Face Detection Using Deep Convolutional Neural Networks

Sachin Sudhakar Farfade et al.

ICMR'15: PROCEEDINGS OF THE 2015 ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA RETRIEVAL (2015)

Article Computer Science, Information Systems

Big Data Deep Learning: Challenges and Perspectives

Xue-Wen Chen et al.

IEEE ACCESS (2014)

Article Computer Science, Artificial Intelligence

Crack Tree: Automatic crack detection from pavement images

Qin Zou et al.

PATTERN RECOGNITION LETTERS (2012)

Article Computer Science, Artificial Intelligence

An optimum feature extraction method based on Wavelet-Radon Transform and Dynamic Neural Network for pavement distress classification

Fereidoon Moghadas Nejad et al.

EXPERT SYSTEMS WITH APPLICATIONS (2011)

Article Mathematics, Applied

Theory and Applications of Robust Optimization

Dimitris Bertsimas et al.

SIAM REVIEW (2011)

Article Computer Science, Artificial Intelligence

The Pascal Visual Object Classes (VOC) Challenge

Mark Everingham et al.

INTERNATIONAL JOURNAL OF COMPUTER VISION (2010)

Article Computer Science, Artificial Intelligence

Fast crack detection method for large-size concrete surface images using percolation-based image processing

Tomoyuki Yamaguchi et al.

MACHINE VISION AND APPLICATIONS (2010)

Article Computer Science, Interdisciplinary Applications

Analysis of edge-detection techniques for crack identification in bridges

L Abdel-Qader et al.

JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2003)

Article Computer Science, Interdisciplinary Applications

An adaptive conjugate gradient neural network-wavelet model for traffic incident detection

H Adeli et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2000)