Evaluation-oriented façade defects detection using rule-based deep learning method
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Evaluation-oriented façade defects detection using rule-based deep learning method
Authors
Keywords
Condition evaluation, Façade defects, Rule-based deep learning, Evaluation area
Journal
AUTOMATION IN CONSTRUCTION
Volume 131, Issue -, Pages 103910
Publisher
Elsevier BV
Online
2021-08-20
DOI
10.1016/j.autcon.2021.103910
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Robust pixel-wise concrete crack segmentation and properties retrieval using image patches
- (2021) Yiqing Liu et al. AUTOMATION IN CONSTRUCTION
- Towards an automated condition assessment framework of underground sewer pipes based on closed-circuit television (CCTV) images
- (2021) Mingzhu Wang et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Damaged ceiling detection and localization in large-span structures using convolutional neural networks
- (2020) Lichen Wang et al. AUTOMATION IN CONSTRUCTION
- Generative adversarial network for road damage detection
- (2020) Hiroya Maeda et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Façade defects classification from imbalanced dataset using meta learning‐based convolutional neural network
- (2020) Jingjing Guo et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- MultiDefectNet: Multi-Class Defect Detection of Building Façade Based on Deep Convolutional Neural Network
- (2020) Kisu Lee et al. Sustainability
- Automatic pixel-level multiple damage detection of concrete structure using fully convolutional network
- (2019) Shengyuan Li et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring
- (2019) Billie F. Spencer et al. Engineering
- Sewer damage detection from imbalanced CCTV inspection data using deep convolutional neural networks with hierarchical classification
- (2019) Duanshun Li et al. AUTOMATION IN CONSTRUCTION
- Patch-Based Crack Detection in Black Box Images Using Convolutional Neural Networks
- (2019) Somin Park et al. JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- Automatic damage detection of historic masonry buildings based on mobile deep learning
- (2019) Niannian Wang et al. AUTOMATION IN CONSTRUCTION
- Automatic Detection of Concrete Spalling Using Piecewise Linear Stochastic Gradient Descent Logistic Regression and Image Texture Analysis
- (2019) Nhat-Duc Hoang et al. COMPLEXITY
- A unified convolutional neural network integrated with conditional random field for pipe defect segmentation
- (2019) Mingzhu Wang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Image‐based concrete crack assessment using mask and region‐based convolutional neural network
- (2019) Byunghyun Kim et al. Structural Control & Health Monitoring
- Multi-classifier for reinforced concrete bridge defects
- (2019) Philipp Hüthwohl et al. AUTOMATION IN CONSTRUCTION
- Novel System for Rapid Investigation and Damage Detection in Cultural Heritage Conservation Based on Deep Learning
- (2019) Niannian Wang et al. Journal of Infrastructure Systems
- Deep Learning for Detecting Building Defects Using Convolutional Neural Networks
- (2019) Husein Perez et al. SENSORS
- Instance-level recognition and quantification for concrete surface bughole based on deep learning
- (2019) Fujia Wei et al. AUTOMATION IN CONSTRUCTION
- A deep learning-based framework for an automated defect detection system for sewer pipes
- (2019) Xianfei Yin et al. AUTOMATION IN CONSTRUCTION
- 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
- Deep Learning–Based Automated Detection of Sewer Defects in CCTV Videos
- (2019) Srinath Shiv Kumar et al. JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- Deep Transfer Learning for Image-Based Structural Damage Recognition
- (2018) Yuqing Gao et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Road Damage Detection and Classification Using Deep Neural Networks with Smartphone Images
- (2018) Hiroya Maeda et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Unified Vision-Based Methodology for Simultaneous Concrete Defect Detection and Geolocalization
- (2018) Ruoxing Li 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
- Automatic segmentation of 3D point clouds of rubble masonry walls, and its application to building surveying, repair and maintenance
- (2018) Enrique Valero et al. AUTOMATION IN CONSTRUCTION
- Automated detection of sewer pipe defects in closed-circuit television images using deep learning techniques
- (2018) Jack C.P. Cheng et al. AUTOMATION IN CONSTRUCTION
- A survey of automation-enabled human-in-the-loop systems for infrastructure visual inspection
- (2018) Sruthy Agnisarman et al. AUTOMATION IN CONSTRUCTION
- 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
- Image Processing-Based Recognition of Wall Defects Using Machine Learning Approaches and Steerable Filters
- (2018) Nhat-Duc Hoang Computational Intelligence and Neuroscience
- Deep learning-based automatic volumetric damage quantification using depth camera
- (2018) Gustavo H. Beckman et al. AUTOMATION IN CONSTRUCTION
- 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
- Evaluation of deep learning approaches based on convolutional neural networks for corrosion detection
- (2017) Deegan J Atha et al. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
- Can we open the black box of AI?
- (2016) Davide Castelvecchi NATURE
- Automated defect detection in sewer closed circuit television images using histograms of oriented gradients and support vector machine
- (2013) Mahmoud R. Halfawy et al. AUTOMATION IN CONSTRUCTION
- Pavement crack classification based on tensor factorization
- (2013) Offei Amanor Adarkwa et al. CONSTRUCTION AND BUILDING MATERIALS
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 MoreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search