Vision transformer-based autonomous crack detection on asphalt and concrete surfaces
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Vision transformer-based autonomous crack detection on asphalt and concrete surfaces
Authors
Keywords
-
Journal
AUTOMATION IN CONSTRUCTION
Volume 140, Issue -, Pages 104316
Publisher
Elsevier BV
Online
2022-05-13
DOI
10.1016/j.autcon.2022.104316
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Deep Learning based Thermal Crack Detection on Structural Concrete Exposed to Elevated Temperature
- (2021) Diana Andrushia A et al. ADVANCES IN STRUCTURAL ENGINEERING
- Deep neural networks with promising diagnostic accuracy for the classification of atypical femoral fractures
- (2021) Georg Zdolsek et al. Acta Orthopaedica
- Deep Neural Network-Based Semantic Segmentation of Microvascular Decompression Images
- (2021) Ruifeng Bai et al. SENSORS
- Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer learning
- (2021) Dimitris Dais et al. AUTOMATION IN CONSTRUCTION
- Novel invisible markers for monitoring cracks on masonry structures
- (2021) İhsan E. Bal et al. CONSTRUCTION AND BUILDING MATERIALS
- Automatic Pixel-Level Crack Detection for Civil Infrastructure Using Unet++ and Deep Transfer Learning
- (2021) Qiaoning Yang et al. IEEE SENSORS JOURNAL
- Predicting road quality using high resolution satellite imagery: A transfer learning approach
- (2021) Ethan Brewer et al. PLoS One
- Structural crack detection using deep convolutional neural networks
- (2021) Raza Ali et al. AUTOMATION IN CONSTRUCTION
- Real-time multiple damage mapping using autonomous UAV and deep faster region-based neural networks for GPS-denied structures
- (2021) Rahmat Ali et al. AUTOMATION IN CONSTRUCTION
- Multi-level feature fusion in densely connected deep-learning architecture and depth-first search for crack segmentation on images collected with smartphones
- (2020) Qipei Mei et al. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
- Data-Driven Structural Health Monitoring and Damage Detection through Deep Learning: State-of-the-Art Review
- (2020) Mohsen Azimi et al. SENSORS
- Region-Based CNN Method with Deformable Modules for Visually Classifying Concrete Cracks
- (2020) Lu Deng et al. Applied Sciences-Basel
- Deep convolution neural network-based transfer learning method for civil infrastructure crack detection
- (2020) Qiaoning Yang et al. AUTOMATION IN CONSTRUCTION
- An integrated approach to automatic pixel-level crack detection and quantification of asphalt pavement
- (2020) Ankang Ji et al. AUTOMATION IN CONSTRUCTION
- Autonomous Fire Resistance Evaluation
- (2020) M. Z. Naser JOURNAL OF STRUCTURAL ENGINEERING
- A review of computer vision–based structural health monitoring at local and global levels
- (2020) Chuan-Zhi Dong et al. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
- A research on an improved Unet-based concrete crack detection algorithm
- (2020) Lingxin Zhang et al. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
- Integrative approach for transducer positioning optimization for ultrasonic structural health monitoring for the detection of deterministic and probabilistic damage location
- (2020) Vincentius Ewald et al. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
- Machine Learning for Crack Detection: Review and Model Performance Comparison
- (2020) Yung-An Hsieh et al. JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- SSD vs. YOLO for Detection of Outdoor Urban Advertising Panels under Multiple Variabilities
- (2020) Ángel Morera et al. SENSORS
- Virtual prototyping- and transfer learning-enabled module detection for modular integrated construction
- (2020) Zhenjie Zheng et al. AUTOMATION IN CONSTRUCTION
- Evaluation of thermal cracks on fire exposed concrete structures using Ripplet transform
- (2020) A. Diana Andrushia et al. MATHEMATICS AND COMPUTERS IN SIMULATION
- Patch-Based Crack Detection in Black Box Images Using Convolutional Neural Networks
- (2019) Somin Park et al. JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- DeepCrack: A deep hierarchical feature learning architecture for crack segmentation
- (2019) Yahui Liu et al. NEUROCOMPUTING
- Computer vision-based concrete crack detection using U-net fully convolutional networks
- (2019) Zhenqing Liu et al. AUTOMATION IN CONSTRUCTION
- Enhanced Feature Representation in Detection for Optical Remote Sensing Images
- (2019) Kun Fu et al. Remote Sensing
- Structural health monitoring using extremely compressed data through deep learning
- (2019) Mohsen Azimi et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Robust Pixel-Level Crack Detection Using Deep Fully Convolutional Neural Networks
- (2019) Mohamad Alipour et al. JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- Densely connected deep neural network considering connectivity of pixels for automatic crack detection
- (2019) Qipei Mei et al. AUTOMATION IN CONSTRUCTION
- Automatic Pixel-Level Crack Detection and Measurement Using Fully Convolutional Network
- (2018) Xincong Yang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- 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
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search