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Deep Learning for Unsupervised Anomaly Localization in Industrial Images: A Survey 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 21
Authors:  Tao, Xian;  Gong, Xinyi;  Zhang, Xin;  Yan, Shaohua;  Adak, Chandranath
Favorite  |  View/Download:37/0  |  Submit date:2022/09/19
Anomaly localization (AL)  deep learning  industrial inspection  literature survey  unsupervised learning  
Image-Based Visual Servoing System for Components Alignment Using Point and Line Features 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 11
Authors:  Yan, Shaohua;  Tao, Xian;  Xu, De
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Deep neural network  feature extraction  image-based visual servoing  interaction matrix  pose error estimation  robotic assembly system  
Unsupervised Anomaly Detection for Surface Defects with Dual-Siamese Network 期刊论文
IEEE Transactions on Industrial Informatics, 2022, 卷号: 1, 期号: 1, 页码: 1-11
Authors:  Tao X(陶显);  Da-Peng Zhang;  Ma WZ(马文治);  Hou ZX(侯占新);  Lu ZF(逯正峰);  Chandranath Adak
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缺陷检测  
Conductive Particle Detection for Chip on Glass Using Convolutional Neural Network 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 期号: 1, 页码: 1-10
Authors:  Tao X(陶显);  Ma WZ(马文治);  Lu ZF(逯正峰);  Hou ZX(侯占新)
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缺陷检测  
基于深度学习的表面缺陷检测方法综述 期刊论文
自动化学报, 2021, 卷号: 47, 期号: 5, 页码: 1017-1034
Authors:  陶显;  侯伟;  徐德
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深度学习  表面缺陷检测  机器视觉  卷积神经网络  
A Self-Supervised CNN for Particle Inspection on Optical Element 期刊论文
IEEE Transactions on Instrumentation and Measurement, 2021, 卷号: 70, 期号: 1, 页码: 1-12
Authors:  Hou W(侯伟);  Tao X(陶显);  Xu D(徐德)
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Inspection  Feature reuse  optical element  particle inspection  self-supervised learning  transfer learning  
High-precision robotic assembly system using three-dimensional vision 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2021, 卷号: 18, 期号: 3, 页码: 12
Authors:  Yan, Shaohua;  Tao, Xian;  Xu, De
Favorite  |  View/Download:63/0  |  Submit date:2021/11/03
3D vision  feature extraction  pose estimation  hybrid visual servoing  robotic assembly system  
Combining Prior Knowledge With CNN for Weak Scratch Inspection of Optical Components 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 期号: 1, 页码: 11
Authors:  Hou, Wei;  Tao, Xian;  Xu, De
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Convolutional neural network (CNN)  direction-sensitive convolution (DSC)  local maximum index (LMI)  optical component  weak scratch inspection  
Industrial Weak Scratches Inspection Based on Multifeature Fusion Network 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 期号: 1, 页码: 14
Authors:  Tao, Xian;  Zhang, Dapeng;  Hou, Wei;  Ma, Wenzhi;  Xu, De
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Deep learning  defect detection  machine vision  multiple feature fusion  weak scratch inspection  
SACNN: Spatial Adversarial Convolutional Neural Network for Textile Defect Detection 期刊论文
FIBRES & TEXTILES IN EASTERN EUROPE, 2020, 卷号: 28, 期号: 6, 页码: 127-133
Authors:  Hou, Wei;  Tao, Xian;  Ma, Wenzhi;  Xu, De
Favorite  |  View/Download:67/0  |  Submit date:2021/03/02
textile defect detection  feature extraction  feature competition  CNN