Related references
Note: Only part of the references are listed.An Unmanned Inspection System for Multiple Defects Detection in Photovoltaic Plants
Xiaoxia Li et al.
IEEE JOURNAL OF PHOTOVOLTAICS (2020)
An End-to-End Steel Surface Defect Detection Approach via Fusing Multiple Hierarchical Features
Yu He et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)
Surface Damaging of Brass and Steel Pins when Sliding over Nitrided Samples Cut by Finishing and Roughing EDM Conditions
Vitaliy Martynenko et al.
MATERIALS (2020)
PGA-Net: Pyramid Feature Fusion and Global Context Attention Network for Automated Surface Defect Detection
Hongwen Dong et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)
A Generic Semi-Supervised Deep Learning-Based Approach for Automated Surface Inspection
Xiaoqing Zheng et al.
IEEE ACCESS (2020)
Defect Detection in Electronic Surfaces Using Template-Based Fourier Image Reconstruction
Du-Ming Tsai et al.
IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY (2019)
Surface defect classification of steels with a new semi-supervised learning method
He Di et al.
OPTICS AND LASERS IN ENGINEERING (2019)
Sentiment Classification Using Convolutional Neural Networks
Hannah Kim et al.
APPLIED SCIENCES-BASEL (2019)
Defect detection in textile fabrics with snake active contour and support vector machines
Prachya Bumrungkun
2018 11TH INTERNATIONAL CONFERENCE ON COMPUTER AND ELECTRICAL ENGINEERING (2019)
Weak Micro-Scratch Detection Based on Deep Convolutional Neural Network
Limei Song et al.
IEEE ACCESS (2019)
A fast and robust convolutional neural network-based defect detection model in product quality control
Tian Wang et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2018)
Development of an optical defect inspection algorithm based on an active contour model for large steel roller surfaces
Jun Yang et al.
APPLIED OPTICS (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)
A surface defects inspection method based on multidirectional gray-level fluctuation
Yunpeng Ma et al.
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS (2017)
Steel Surface Defect Detection Using a New Haar-Weibull-Variance Model in Unsupervised Manner
Kun Liu et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2017)
Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks
Young-Jin Cha et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2017)
Design of deep convolutional neural network architectures for automated feature extraction in industrial inspection
Daniel Weimer et al.
CIRP ANNALS-MANUFACTURING TECHNOLOGY (2016)
Steel-surface defect detection using a switching-lighting scheme
Yong-Ju Jeon et al.
APPLIED OPTICS (2016)
A noise robust method based on completed local binary patterns for hot-rolled steel strip surface defects
Kechen Song et al.
APPLIED SURFACE SCIENCE (2013)