CASIA OpenIR
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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
作者:  Tao, Xian;  Gong, Xinyi;  Zhang, Xin;  Yan, Shaohua;  Adak, Chandranath
Adobe PDF(7056Kb)  |  收藏  |  浏览/下载:284/7  |  提交时间:2022/09/19
Anomaly localization (AL)  deep learning  industrial inspection  literature survey  unsupervised learning  
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
作者:  Hou, Wei;  Tao, Xian;  Xu, De
Adobe PDF(6798Kb)  |  收藏  |  浏览/下载:417/137  |  提交时间:2021/03/08
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
作者:  Tao, Xian;  Zhang, Dapeng;  Hou, Wei;  Ma, Wenzhi;  Xu, De
Adobe PDF(11203Kb)  |  收藏  |  浏览/下载:422/61  |  提交时间:2021/03/08
Deep learning  defect detection  machine vision  multiple feature fusion  weak scratch inspection  
A fast fused part-based model with new deep feature for pedestrian detection and security monitoring 期刊论文
MEASUREMENT, 2020, 卷号: 151, 期号: 1, 页码: 12
作者:  Cheng, Eric Juwei;  Prasad, Mukesh;  Yang, Jie;  Khanna, Pritee;  Chen, Bing-Hong;  Tao, Xian;  Young, Ku-Young;  Lin, Chin-Teng
浏览  |  Adobe PDF(3849Kb)  |  收藏  |  浏览/下载:308/66  |  提交时间:2020/03/30
Pedestrian detection  Haar-like feature  Deep fused feature  Deformable partmodel  Security monitoring  
Fault diagnosis of rolling bearing based on resonance-based sparse signal decomposition with optimal Q-factor 期刊论文
MEASUREMENT & CONTROL, 2019, 卷号: 52, 期号: 7-8, 页码: 1111-1121
作者:  Lu, Yan;  Du, Juan;  Tao, Xian
浏览  |  Adobe PDF(2339Kb)  |  收藏  |  浏览/下载:386/105  |  提交时间:2019/12/16
Fault diagnosis  resonance-based sparse signal decomposition  optimal Q-factor  genetic algorithm  energy operator demodulating  rolling bearing  
Detection of Power Line Insulator Defects using Aerial Images Analyzed with Convolutional Neural Networks 期刊论文
IEEE Transactions on Systems Man Cybernetics-Systems, 2018, 卷号: 50, 期号: 0, 页码: 0
作者:  Tao Xian;  Zhang Dapeng;  Wang Zihao;  Liu Xilong;  Zhang Hongyan;  Xu De
Adobe PDF(2627Kb)  |  收藏  |  浏览/下载:953/355  |  提交时间:2018/10/08
Defect Detection  Insulators  Aerial Image  Convolutional Neural Network