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High-speed rail pole number recognition through deep representation and temporal redundancy 期刊论文
NEUROCOMPUTING, 2020, 卷号: 415, 页码: 201-214
Authors:  Yang, Yang;  Zhang, Wensheng;  He, Zewen;  Li, Ding
Adobe PDF(2751Kb)  |  Favorite  |  View/Download:29/0  |  Submit date:2021/01/07
Region-based convolutional neural network  Context information  Object detection  Number recognition  Pole number  High-speed rail  
Visual Defect Inspection for Deep-Aperture Components With Coarse-to-Fine Contour Extraction 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 卷号: 69, 期号: 6, 页码: 3262-3274
Authors:  Gong, Xinyi;  Su, Hu;  Xu, De;  Zhang, Jiabin;  Zhang, Lei;  Zhang, Zhengtao
View  |  Adobe PDF(1324Kb)  |  Favorite  |  View/Download:70/15  |  Submit date:2020/08/03
Coarse-fine positioning  deep-hole component  defect inspection  edge grouping  image processing  
A neuroimaging biomarker for striatal dysfunction in schizophrenia 期刊论文
NATURE MEDICINE, 2020, 卷号: 26, 期号: 26, 页码: 27
Authors:  Li, Ang;  Zalesky, Andrew;  Yue, Weihua;  Howes, Oliver;  Yan, Hao;  Liu, Yong;  Fan, Lingzhong;  Whitaker, Kirstie J.;  Xu, Kaibin;  Rao, Guangxiang;  Li, Jin;  Liu, Shu;  Wang, Meng;  Sun, Yuqing;  Song, Ming;  Li, Peng;  Chen, Jun;  Chen, Yunchun;  Wang, Huaning;  Liu, Wenming;  Li, Zhigang;  Yang, Yongfeng;  Guo, Hua;  Wan, Ping;  Lv, Luxian;  Lu, Lin;  Yan, Jun;  Song, Yuqing;  Wang, Huiling;  Zhang, Hongxing;  Wu, Huawang;  Ning, Yuping;  Du, Yuhui;  Cheng, Yuqi;  Xu, Jian;  Xu, Xiufeng;  Zhang, Dai;  Wang, Xiaoqun;  Jiang, Tianzi;  Liu, Bing
View  |  Adobe PDF(5512Kb)  |  Favorite  |  View/Download:139/36  |  Submit date:2020/06/02
TREATMENT-RESISTANT SCHIZOPHRENIA,RESTING-STATE FMRI,FUNCTIONAL CONNECTIVITY,DOPAMINE HYPOTHESIS,GENE-EXPRESSION,NETWORK  
Network Agenda Setting and Social Cognition Construction of the Dengue Fever Epidemic Event based on Social Media Big Data 会议论文
, 中国西安, 2019-7
Authors:  Wang YJ(王月娇);  Cao ZD(曹志冬)
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深孔类零部件内部缺陷的视觉检测方法研究 学位论文
工学博士, 中国科学院自动化研究所: 中国科学院大学,中国科学院自动化研究所, 2019
Authors:  宫新一
Adobe PDF(77289Kb)  |  Favorite  |  View/Download:185/0  |  Submit date:2019/06/21
深孔零件  缺陷检测  视觉检测  深度卷积神经网络  目标检测  轮廓提取  形态分析  
中国水墨作品数字化创作重构研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2019
Authors:  唐帆
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水墨图像  过程重构  知识驱动  绘画分析  动画  
Contour Extraction and Quality Inspection for Inner Structure of Deep Hole Components 期刊论文
IEEE Transactions on Components, Packaging and Manufacturing Technology, 2019, 卷号: 9, 期号: 3, 页码: 575-585
Authors:  Gong XY(宫新一);  Hu Su;  De Xu;  Huabin Yang;  Zhengtao Zhang;  Lei Zhang
View  |  Adobe PDF(1336Kb)  |  Favorite  |  View/Download:142/32  |  Submit date:2019/05/08
Brownian Motion, Edge Grouping, Contour Extraction, Deep-hole Component  
Feature-Related Searching Control Model for Curve Detection 期刊论文
IEEE Transactions on Cybernetics, 2019, 卷号: 49, 期号: 2, 页码: 580-591
Authors:  Zhang MY(张茗奕);  Xilong Liu;  De Xu;  Zhiqiang Cao
View  |  Adobe PDF(1984Kb)  |  Favorite  |  View/Download:111/25  |  Submit date:2019/05/08
Curve Detection  Feature Description  Prediction  Searching  Searching Control Mode  Updating  
An overview of contour detection approaches 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 6, 页码: 656-672
Authors:  Gong XY(宫新一);  Hu Su;  De Xu;  Zhengtao Zhang;  Fei Shen;  Huabin Yang
View  |  Adobe PDF(8437Kb)  |  Favorite  |  View/Download:264/108  |  Submit date:2019/05/08
Contour Detection, Contour Salience, Gestalt Principle, Contour Grouping, Active Contour  
Real-time segmentation of various insulators using generative adversarial networks 期刊论文
IET COMPUTER VISION, 2018, 卷号: 12, 期号: 5, 页码: 596-602
Authors:  Chang, Wenkai;  Yang, Guodong;  Yu, Junzhi;  Liang, Zize
Adobe PDF(4584Kb)  |  Favorite  |  View/Download:103/9  |  Submit date:2019/12/16
image segmentation  insulators  neural nets  power engineering computing  real-time pixel-level segmentation  generative adversarial networks  insulator segmentation algorithm  cluttered background  artificial thresholds  compact end-to-end neural network  visual saliency map  proposed two-stage training  segmentation quality