CASIA OpenIR
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Hierarchical Policy Learning With Demonstration Learning for Robotic Multiple Peg-in-Hole Assembly Tasks 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 卷号: 19, 期号: 10, 页码: 10254-10264
作者:  Yan, Shaohua;  Xu, De;  Tao, Xian
Adobe PDF(4845Kb)  |  收藏  |  浏览/下载:114/9  |  提交时间:2023/11/17
Assembly model  demonstration learning (DL)  force-based control algorithm  hierarchical reinforcement learning (HRL)  peg-in-hole assembly  
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
作者:  Yan, Shaohua;  Tao, Xian;  Xu, De
Adobe PDF(1856Kb)  |  收藏  |  浏览/下载:235/11  |  提交时间:2022/06/10
Deep neural network  feature extraction  image-based visual servoing  interaction matrix  pose error estimation  robotic assembly system  
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
作者:  Hou W(侯伟);  Tao X(陶显);  Xu D(徐德)
Adobe PDF(2721Kb)  |  收藏  |  浏览/下载:281/68  |  提交时间:2021/06/21
Inspection  Feature reuse  optical element  particle inspection  self-supervised learning  transfer learning  
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:395/56  |  提交时间:2021/03/08
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
作者:  Hou, Wei;  Tao, Xian;  Ma, Wenzhi;  Xu, De
Adobe PDF(3209Kb)  |  收藏  |  浏览/下载:213/5  |  提交时间:2021/03/02
textile defect detection  feature extraction  feature competition  CNN  
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:938/351  |  提交时间:2018/10/08
Defect Detection  Insulators  Aerial Image  Convolutional Neural Network  
Wire Defect Recognition of Spring-Wire Socket Using Multitask Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY, 2018, 卷号: 8, 期号: 4, 页码: 689-698
作者:  Tao, Xian;  Wang, Zihao;  Zhang, Zhengtao;  Zhang, Dapeng;  Xu, De;  Gong, Xinyi;  Zhang, Lei
浏览  |  Adobe PDF(4279Kb)  |  收藏  |  浏览/下载:518/195  |  提交时间:2018/10/02
Convolutional Neural Network (Cnn)  Defect Recognition  Machine Vision  Multitask Learning  Spring-wire Sockets  
Automatic Metallic Surface Defect Detection and Recognition with Convolutional Neural Networks 期刊论文
APPLIED SCIENCES-BASEL, 2018, 卷号: 8, 期号: 9, 页码: 15
作者:  Tao Xian;  Zhang Dapeng;  Ma Wenzhi;  Liu Xilong;  Xu De;  Xian Tao
浏览  |  Adobe PDF(3978Kb)  |  收藏  |  浏览/下载:1005/449  |  提交时间:2018/10/02
metallic surface  autoencoder  convolutional neural network  defect detection  
Weak scratch detection and defect classification methods for a large-aperture optical element 期刊论文
OPTICS COMMUNICATIONS, 2017, 卷号: 387, 期号: 0, 页码: 390-400
作者:  Tao, Xian;  Xu, De;  Zhang, Zheng-Tao;  Zhang, Feng;  Liu, Xi-Long;  Zhang, Da-Peng
浏览  |  Adobe PDF(1478Kb)  |  收藏  |  浏览/下载:1039/479  |  提交时间:2017/02/14
Optical Inspection  Weak Scratches  Surface Defects Classification  Large-aperture Optical Element  
A Novel and Effective Surface Flaw Inspection Instrument for Large-Aperture Optical Elements 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2015, 卷号: 64, 期号: 9, 页码: 2530-2540
作者:  Tao, Xian;  Zhang, Zhengtao;  Zhang, Feng;  Xu, De
浏览  |  Adobe PDF(591Kb)  |  收藏  |  浏览/下载:559/148  |  提交时间:2015/09/23
Bright-field Imaging System (Bfis)  Dark-field Imaging System (Dfis)  Flaw Inspection  Image Processing  Large-aperture Optical Element  Measurement  Path Planning