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基于深度学习的输电线路缺陷图像识别 学位论文
沈阳: 中国科学院沈阳自动化研究所, 2021
作者:  徐文想
收藏  |  浏览/下载:17/0  |  提交时间:2021/06/12
Rebalanced Region-Pixel Loss for Concrete Defects Segmentation 会议论文
Virtual, Online, China, September 17-19, 2021
作者:  Hong KL(洪坤龙);  Wang HG(王洪光);  Yang L(杨亮);  Yuan BB(袁兵兵)
收藏  |  浏览/下载:6/0  |  提交时间:2022/03/23
A Cloud Edge Collaborative Intelligence Method of Insulator String Defect Detection for Power IIoT 期刊论文
IEEE Internet of Things Journal, 2021, 卷号: 8, 期号: 9, 页码: 7510-7520
作者:  Song CH(宋纯贺);  Xu WX(徐文想);  Han GJ(韩光洁);  Zeng P(曾鹏);  Wang ZF(王忠锋)
收藏  |  浏览/下载:19/0  |  提交时间:2020/12/18
Automatic recognition of surface defects for hot-rolled steel strip based on deep attention residual convolutional neural network 期刊论文
Materials Letters, 2021, 卷号: 293, 页码: 1-4
作者:  Huang Z(黄钲);  Wu JJ(吴嘉俊);  Xie, Feng
收藏  |  浏览/下载:8/0  |  提交时间:2021/04/13
Automatic surface defect segmentation for hot-rolled steel strip using depth-wise separable U-shape network 期刊论文
Materials Letters, 2021, 卷号: 301, 页码: 1-4
作者:  Huang Z(黄钲);  Wu JJ(吴嘉俊);  Xie, Feng
收藏  |  浏览/下载:4/0  |  提交时间:2021/07/17
Detection method of manufacturing defects on aircraft surface based on fringe projection 期刊论文
Optik, 2020, 卷号: 208, 页码: 1-13
作者:  Xia RB(夏仁波);  Zhao JB(赵吉宾);  Zhang TY(张天宇);  Su R(苏润);  Chen YL(陈月玲)
收藏  |  浏览/下载:13/0  |  提交时间:2020/04/01
Non-concentric Circular Texture Removal for Workpiece Defect Detection 会议论文
Shenyang, China, August 8-11, 2019
作者:  Chen, Heping;  Xi N(席宁);  Qin SJ(秦书嘉);  Guo, Di
收藏  |  浏览/下载:19/0  |  提交时间:2019/09/05
Non-concentric Circular Texture Removal for Workpiece Defect Detection 会议论文
Shenyang, China, August 8-11, 2019
作者:  Qin SJ(秦书嘉);  Guo, Di;  Chen, Heping
收藏  |  浏览/下载:3/0  |  提交时间:2019/09/05
Research on the Defects Identify of the Weld-line's Image of the In-service Pipeline Based on BP Neural Network 会议论文
1st International Conference on Electronics Instrumentation & Information Systems (EIIS), Harbin, China, June 3-5, 2017
作者:  Yuan, Gao;  Yin J(尹健);  Wang ZW(王照伟);  Ceng P(曾鹏);  Li D(李栋)
收藏  |  浏览/下载:17/0  |  提交时间:2018/06/19
Research on the Defects Identify of the Weld-line's Image of the In-service Pipeline Based on BP Neural Network 会议论文
Harbin, China, June 3-5, 2017
作者:  Yin J(尹健);  Yuan, Gao
收藏  |  浏览/下载:0/0  |  提交时间:2018/06/19


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