A deep learning‐based image captioning method to automatically generate comprehensive explanations of bridge damage
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A deep learning‐based image captioning method to automatically generate comprehensive explanations of bridge damage
Authors
Keywords
-
Journal
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2021-11-23
DOI
10.1111/mice.12793
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Automatic Detection of Cracks in Asphalt Pavement Using Deep Learning to Overcome Weaknesses in Images and GIS Visualization
- (2021) Pang-jo Chun et al. Applied Sciences-Basel
- Thinning evaluation of steel plates for weathering tests based on convolutional neural network
- (2021) KAI WU et al. CORROSION
- Real-time railroad track components inspection based on the improved YOLOv4 framework
- (2021) Feng Guo et al. AUTOMATION IN CONSTRUCTION
- Innovative technologies for infrastructure construction and maintenance through collaborative robots based on an open design approach
- (2021) Keiji Nagatani et al. ADVANCED ROBOTICS
- Cross‐scene pavement distress detection by a novel transfer learning framework
- (2021) Yishun Li et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Applicability of machine learning to a crack model in concrete bridges
- (2020) Yuriko Okazaki et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Bidirectional LSTM with self-attention mechanism and multi-channel features for sentiment classification
- (2020) Weijiang Li et al. NEUROCOMPUTING
- Context-based information generation for managing UAV-acquired data using image captioning
- (2020) Seongdeok Bang et al. AUTOMATION IN CONSTRUCTION
- Automatic detection method of cracks from concrete surface imagery using two‐step light gradient boosting machine
- (2020) Pang‐jo Chun et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Automated crack evaluation of a high-rise bridge pier using a ring-type climbing robot
- (2020) Keunyoung Jang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Deep Learning-Based Real-Time Auto Classification of Smartphone Measured Bridge Vibration Data
- (2020) Ashish Shrestha et al. SENSORS
- Development of a Machine Learning-Based Damage Identification Method Using Multi-Point Simultaneous Acceleration Measurement Results
- (2020) Pang-jo Chun et al. SENSORS
- Failure mode classification and bearing capacity prediction for reinforced concrete columns based on ensemble machine learning algorithm
- (2020) De-Cheng Feng et al. ADVANCED ENGINEERING INFORMATICS
- Generative adversarial network for road damage detection
- (2020) Hiroya Maeda et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Uncertainty‐assisted deep vision structural health monitoring
- (2020) Seyed Omid Sajedi et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Recognition of rust grade and rust ratio of steel structures based on ensembled convolutional neural network
- (2020) Jie Xu et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Random forest-based evaluation technique for internal damage in reinforced concrete featuring multiple nondestructive testing results
- (2020) Pang-jo Chun et al. CONSTRUCTION AND BUILDING MATERIALS
- Automated pavement crack detection and segmentation based on two‐step convolutional neural network
- (2020) Jingwei Liu et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Crack Detection from a Concrete Surface Image Based on Semantic Segmentation Using Deep Learning
- (2020) Tatsuro Yamane et al. Journal of Advanced Concrete Technology
- Automated crack assessment and quantitative growth monitoring
- (2020) Si‐Yu Kong et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
- (2020) Onur Avci et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Semi-active vibration control of smart isolated highway bridge structures using replicator dynamics
- (2019) Mariantonieta Gutierrez Soto et al. ENGINEERING STRUCTURES
- DeepCrack: A deep hierarchical feature learning architecture for crack segmentation
- (2019) Yahui Liu et al. NEUROCOMPUTING
- 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
- Image‐based crack assessment of bridge piers using unmanned aerial vehicles and three‐dimensional scene reconstruction
- (2019) Yu‐Fei Liu et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Effect of cleaned corrosion surface topography on mechanical properties of cold-formed thin-walled steel
- (2019) Shanhua Xu et al. CONSTRUCTION AND BUILDING MATERIALS
- Evaluation of Tensile Performance of Steel Members by Analysis of Corroded Steel Surface Using Deep Learning
- (2019) Pang-jo Chun et al. Metals
- Real‐time crack assessment using deep neural networks with wall‐climbing unmanned aerial system
- (2019) Shang Jiang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Learning visual relationship and context-aware attention for image captioning
- (2019) Junbo Wang et al. PATTERN RECOGNITION
- Road Damage Detection and Classification Using Deep Neural Networks with Smartphone Images
- (2018) Hiroya Maeda et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- 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
- A novel unsupervised deep learning model for global and local health condition assessment of structures
- (2018) Mohammad Hossein Rafiei et al. ENGINEERING STRUCTURES
- Deep learning based image recognition for crack and leakage defects of metro shield tunnel
- (2018) Hong-wei Huang et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Framing Image Description as a Ranking Task: Data, Models and Evaluation Metrics
- (2018) M. Hodosh et al. JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH
- Novel Machine-Learning Model for Estimating Construction Costs Considering Economic Variables and Indexes
- (2018) Mohammad Hossein Rafiei et al. JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
- Image-based post-disaster inspection of reinforced concrete bridge systems using deep learning with Bayesian optimization
- (2018) Xiao Liang COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Recurrent neural network model with Bayesian training and mutual information for response prediction of large buildings
- (2018) Carlos A. Perez-Ramirez et al. ENGINEERING STRUCTURES
- INFRARED THERMOGRAPHY FOR DETECTING DEFECTS IN CONCRETE STRUCTURES
- (2018) Gene F. Sirca Jr. et al. Journal of Civil Engineering and Management
- Autonomous concrete crack detection using deep fully convolutional neural network
- (2018) Cao Vu Dung et al. AUTOMATION IN CONSTRUCTION
- A novel machine learning-based algorithm to detect damage in high-rise building structures
- (2017) Mohammad Hossein Rafiei et al. STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS
- The Pascal Visual Object Classes (VOC) Challenge
- (2009) Mark Everingham et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now