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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  
基于深度学习的光学元件表面缺陷检测方法研究 学位论文
工学博士, 人工智能学院: 中国科学院大学, 2021
Authors:  侯伟
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光学元件  表面缺陷检测  深度学习  先验知识  自监督学习  
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
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textile defect detection  feature extraction  feature competition  CNN  
Industrial WeakScratches Inspection Based on Multi-Feature Fusion Network 期刊论文
IEEE Transaction on Instrumentation and Measurement, 2020, 期号: 1, 页码: 1-14
Authors:  Tao Xian;  Zhang DP(张大朋);  Hou wei;  Ma wenzhi;  Xu De
View  |  Adobe PDF(5789Kb)  |  Favorite  |  View/Download:114/20  |  Submit date:2020/10/20
Weak scratch inspection, Defect Detection, MultipleFeatureFusion,DeepLearning,MachineVision