Lightweight pixel-wise segmentation for efficient concrete crack detection using hierarchical convolutional neural network

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

(2020) Gang Li 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

Multi-Scale Self-Guided Attention for Medical Image Segmentation

(2020) Ashish Sinha et al.   IEEE Journal of Biomedical and Health Informatics

Encoder-decoder network for pixel-level road crack detection in black-box images

(2019) Seongdeok Bang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

DeepCrack: A deep hierarchical feature learning architecture for crack segmentation

(2019) Yahui Liu et al.   NEUROCOMPUTING

Image-Based Concrete Crack Detection Using Convolutional Neural Network and Exhaustive Search Technique

(2019) Shengyuan Li et al.   Advances in Civil Engineering

Moving Foreground-Aware Visual Attention and Key Volume Mining for Human Action Recognition

(2019) Junxuan Zhang et al.   ACM Transactions on Multimedia Computing Communications and Applications

Concrete crack detection with handwriting script interferences using faster region‐based convolutional neural network

(2019) Jianghua Deng et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

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

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

Deep Learning for Generic Object Detection: A Survey

(2019) Li Liu et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

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

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

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

(2018) Yadong Xue et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

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

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Autonomous concrete crack detection using deep fully convolutional neural network

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

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

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

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review

(2017) Waseem Rawat et al.   NEURAL COMPUTATION

Automatic Road Crack Detection Using Random Structured Forests

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

Past, present and future of robotic tunnel inspection

(2015) R. Montero et al.   AUTOMATION IN CONSTRUCTION

Vision-Based Automated Crack Detection for Bridge Inspection

(2015) Chul Min Yeum et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Automatic Crack Detection and Classification Method for Subway Tunnel Safety Monitoring

(2014) Wenyu Zhang et al.   SENSORS

Adaptive Road Crack Detection System by Pavement Classification

(2011) Miguel Gavilán et al.   SENSORS

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

(2009) Tomoyuki Yamaguchi et al.   MACHINE VISION AND APPLICATIONS