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Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2022, 卷号: 18, 期号: 3, 页码: 18
作者:  Li, Jinfeng;  Liu, Weifeng;  Zhou, Yicong;  Yu, Jun;  Tao, Dapeng;  Xu, Changsheng
收藏  |  浏览/下载：228/0  |  提交时间：2022/06/10
Domain adaptation  domain-invariant graph  the Nystrom method  few labeled source samples  
BiN-Flow: Bidirectional Normalizing Flow for Robust Image Dehazing 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6635-6648
作者:  Wu, Yiqiang;  Tao, Dapeng;  Zhan, Yibing;  Zhang, Chenyang
收藏  |  浏览/下载：185/0  |  提交时间：2022/11/21
Training  Image restoration  Image color analysis  Band-pass filters  Convolutional neural networks  Atmospheric modeling  Noise measurement  Image dehazing  bidirectional normalizing flow  weakly-paired training  and  restoration diversity  
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
作者:  Tao X(陶显);  Da-Peng Zhang;  Ma WZ(马文治);  Hou ZX(侯占新);  Lu ZF(逯正峰);  Chandranath Adak
Adobe PDF(8384Kb)  |  收藏  |  浏览/下载：234/52  |  提交时间：2022/03/03
缺陷检测  
Dynamic Graph Learning Convolutional Networks for Semi-supervised Classification 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2021, 卷号: 17, 期号: 1, 页码: 13
作者:  Fu, Sichao;  Liu, Weifeng;  Guan, Weili;  Zhou, Yicong;  Tao, Dapeng;  Xu, Changsheng
收藏  |  浏览/下载：160/0  |  提交时间：2021/06/15
Graph representation learning  graph convolutional networks  semisupervised classification  
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：323/46  |  提交时间：2021/03/08
Deep learning  defect detection  machine vision  multiple feature fusion  weak scratch inspection  
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：923/423  |  提交时间：2018/10/02
metallic surface  autoencoder  convolutional neural network  defect detection  
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
Adobe PDF(4279Kb)  |  收藏  |  浏览/下载：469/186  |  提交时间：2018/10/02
Convolutional Neural Network (Cnn)  Defect Recognition  Machine Vision  Multitask Learning  Spring-wire Sockets  
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：785/323  |  提交时间：2018/10/08
Defect Detection  Insulators  Aerial Image  Convolutional Neural Network  
A Robust Detection Method of Control Points for Calibration and Measurement With Defocused Images 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2017, 卷号: 66, 期号: 10, 页码: 2725-2735
作者:  Ding, Wendong;  Liu, Xilong;  Xu, De;  Zhang, Dapeng;  Zhang, Zhengtao
浏览  |  Adobe PDF(2118Kb)  |  收藏  |  浏览/下载：475/111  |  提交时间：2018/01/04
Camera Calibration  Control Point Detection  Defocused Image  Point Spread Function  Vision Measurement  
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：974/462  |  提交时间：2017/02/14
Optical Inspection  Weak Scratches  Surface Defects Classification  Large-aperture Optical Element