An active learning framework featured Monte Carlo dropout strategy for deep learning-based semantic segmentation of concrete cracks from images

Automated Pavement Crack Damage Detection Using Deep Multiscale Convolutional Features

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

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

(2020) Zhun Fan et al.   Coatings

Automatic Pixel-Level Crack Detection on Dam Surface Using Deep Convolutional Network

(2020) Chuncheng Feng et al.   SENSORS

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

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

Anomaly detection of defects on concrete structures with the convolutional autoencoder

(2020) J.K. Chow et al.   ADVANCED ENGINEERING INFORMATICS

A vision-based active learning convolutional neural network model for concrete surface crack detection

(2020) Zhen Wang et al.   ADVANCES IN STRUCTURAL ENGINEERING

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

(2020) Dongho Kang et al.   AUTOMATION IN CONSTRUCTION

Artificial intelligence-empowered pipeline for image-based inspection of concrete structures

(2020) Jun Kang Chow et al.   AUTOMATION IN CONSTRUCTION

Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring

(2019) Billie F. Spencer et al.   Engineering

Autonomous bolt loosening detection using deep learning

(2019) Yang Zhang et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

DeepCrack: A deep hierarchical feature learning architecture for crack segmentation

(2019) Yahui Liu et al.   NEUROCOMPUTING

Vision-Based Autonomous Crack Detection of Concrete Structures Using a Fully Convolutional Encoder–Decoder Network

(2019) M. M. Manjurul Islam et al.   SENSORS

Robust Pixel-Level Crack Detection Using Deep Fully Convolutional Neural Networks

(2019) Mohamad Alipour et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

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

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

Cost-Effective Vehicle Type Recognition in Surveillance Images With Deep Active Learning and Web Data

(2019) Yue Huang 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

Pixel-level crack delineation in images with convolutional feature fusion

(2018) FuTao Ni et al.   Structural Control & Health Monitoring

DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection

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

Autonomous concrete crack detection using deep fully convolutional neural network

(2018) Cao Vu Dung et al.   AUTOMATION IN CONSTRUCTION

Cost-Effective Active Learning for Deep Image Classification

(2017) Keze Wang et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

Leveraging uncertainty information from deep neural networks for disease detection

(2017) Christian Leibig et al.   Scientific Reports

A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure

(2015) Christian Koch et al.   ADVANCED ENGINEERING INFORMATICS

Active deep learning method for semi-supervised sentiment classification

(2013) Shusen Zhou et al.   NEUROCOMPUTING

Semantic object classes in video: A high-definition ground truth database

(2008) Gabriel J. Brostow et al.   PATTERN RECOGNITION LETTERS