Related references
Note: Only part of the references are listed.An Iteratively Optimized Patch Label Inference Network for Automatic Pavement Distress Detection
Wenhao Tang et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)
RDD2020: An annotated image dataset for automatic road damage detection using deep learning
Deeksha Arya et al.
DATA IN BRIEF (2021)
A real-time detection approach for bridge cracks based on YOLOv4-FPM
Zhenwei Yu et al.
AUTOMATION IN CONSTRUCTION (2021)
CrackGAN: Pavement Crack Detection Using Partially Accurate Ground Truths Based on Generative Adversarial Learning
Kaige Zhang et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2021)
Structural Crack Detection and Recognition Based on Deep Learning
Cheng Yang et al.
APPLIED SCIENCES-BASEL (2021)
Computer Vision-Based Patched and Unpatched Pothole Classification Using Machine Learning Approach Optimized by Forensic-Based Investigation Metaheuristic
Nhat-Duc Hoang et al.
COMPLEXITY (2021)
Pavement Image Datasets: A New Benchmark Dataset to Classify and Densify Pavement Distresses
Hamed Majidifard et al.
TRANSPORTATION RESEARCH RECORD (2020)
Pavement Crack Detection and Segmentation Method Based on Improved Deep Learning Fusion Model
Xiaoran Feng et al.
MATHEMATICAL PROBLEMS IN ENGINEERING (2020)
High Precision Detection Technology of Infrared Wall Cracks Based on Improved Single Shot Multibox Detector
Zehua Gao et al.
2020 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTER ENGINEERING (ICAICE 2020) (2020)
On Bridge Surface Crack Detection Based on an Improved YOLO v3 Algorithm
Yuexin Zhang et al.
IFAC PAPERSONLINE (2020)
Patch-Based Crack Detection in Black Box Images Using Convolutional Neural Networks
Somin Park et al.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2019)
Deep Integration: A Multi-Label Architecture for Road Scene Recognition
Long Chen et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2019)
Robust Concrete Crack Detection Using Deep Learning-Based Semantic Segmentation
Donghan Lee et al.
INTERNATIONAL JOURNAL OF AERONAUTICAL AND SPACE SCIENCES (2019)
Automatic recognition of asphalt pavement cracks using metaheuristic optimized edge detection algorithms and convolution neural network
Nhat-Duc Hoang et al.
AUTOMATION IN CONSTRUCTION (2018)
Deep visual domain adaptation: A survey
Mei Wang et al.
NEUROCOMPUTING (2018)
Detection of Asphalt Pavement Potholes and Cracks Based on the Unmanned Aerial Vehicle Multispectral Imagery
Yifan Pan et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2018)
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)
Deep Faster R-CNN-based automated detection and localization of multiple types of damage
Gahyun Suh et al.
SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2018 (2018)
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)
Automatic detection and classification of the ceramic tiles' surface defects
Saeed Hosseinzadeh Hanzaei et al.
PATTERN RECOGNITION (2017)
Deep Convolutional Neural Networks with transfer learning for computer vision-based data-driven pavement distress detection
Kasthurirangan Gopalakrishnan et al.
CONSTRUCTION AND BUILDING MATERIALS (2017)
Automated Crack Detection on Concrete Bridges
Prateek Prasanna et al.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2016)
A Simplified Computer Vision System for Road Surface Inspection and Maintenance
Marcos Quintana et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2016)
Automatic Crack Detection on Two-Dimensional Pavement Images: An Algorithm Based on Minimal Path Selection
Rabih Amhaz et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2016)
Automatic Road Crack Detection Using Random Structured Forests
Yong Shi et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2016)
A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure
Christian Koch et al.
ADVANCED ENGINEERING INFORMATICS (2015)
Automatic Road Defect Detection by Textural Pattern Recognition Based on AdaBoost
Aurelien Cord et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2012)