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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：257/1  |  提交时间：2022/09/19
Anomaly localization (AL)  deep learning  industrial inspection  literature survey  unsupervised learning  
Environment Perception Technologies for Power Transmission Line Inspection Robots 期刊论文
JOURNAL OF SENSORS, 2021, 卷号: 2021, 页码: 16
作者:  Chen, Minghao;  Tian, Yunong;  Xing, Shiyu;  Li, Zhishuo;  Li, En;  Liang, Zize;  Guo, Rui
Adobe PDF(2248Kb)  |  收藏  |  浏览/下载：139/7  |  提交时间：2021/06/07
Efficient Parallel Branch Network With Multi-Scale Feature Fusion for Real-Time Overhead Power Line Segmentation 期刊论文
IEEE SENSORS JOURNAL, 2021, 卷号: 21, 期号: 10, 页码: 12220-12227
作者:  Gao, Zishu;  Yang, Guodong;  Li, En;  Liang, Zize;  Guo, Rui
Adobe PDF(1352Kb)  |  收藏  |  浏览/下载：390/70  |  提交时间：2021/06/07
Convolution  Feature extraction  Image segmentation  Inspection  Wires  Sensors  Real-time systems  Real-time segmentation  lightweight network  dilated depth-wise convolution  power line inspection