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ViTALnet: Anomaly on Industrial Textured Surfaces With Hybrid Transformer 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 页码: 1-13
作者:  Tao X(陶显);  Chandranath Adak;  Pang-Jo Chun;  Shaohua Yan;  Huaping Liu
Adobe PDF(867Kb)  |  收藏  |  浏览/下载：12/3  |  提交时间：2024/06/05
Investigating Shift Equivalence of Convolutional Neural Networks in Industrial Defect Segmentation 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 页码: 1-17
作者:  Qu Z(屈震);  Tao X(陶显);  Shen F(沈飞);  Zhang ZT(张正涛);  Li T(李涛)
Adobe PDF(2869Kb)  |  收藏  |  浏览/下载：2/1  |  提交时间：2024/06/04
Probabilistic Boundary-Guided Point Cloud Primitive Segmentation Network 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 13
作者:  Wang, Shaohu;  Qin, Fangbo;  Tong, Yuchuang;  Shang, Xiuqin;  Zhang, Zhengtao
收藏  |  浏览/下载：85/0  |  提交时间：2023/12/21
Boundary prediction  primitive segmentation  probabilistic representation  
DPF-Net: A Dual-Path Progressive Fusion Network for Retinal Vessel Segmentation 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 17
作者:  Li, Jianyong;  Gao, Ge;  Yang, Lei;  Bian, Guibin;  Liu, Yanhong
收藏  |  浏览/下载：117/0  |  提交时间：2023/11/17
Feature extraction  Image segmentation  Retinal vessels  Biomedical imaging  Blood vessels  Convolutional neural networks  Task analysis  Deep network  progressive fusion strategy  retinal vessel segmentation  semantic segmentation  U-shape network  
A CNN-Transformer Hybrid Recognition Approach for sEMG-Based Dynamic Gesture Prediction 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 16
作者:  Liu, Yanhong;  Li, Xingyu;  Yang, Lei;  Bian, Guibin;  Yu, Hongnian
收藏  |  浏览/下载：140/0  |  提交时间：2023/11/17
Feature extraction  Gesture recognition  Task analysis  Transformers  Time-frequency analysis  Convolution  Data mining  Convolutional neural network (CNN)  feature fusion  hand gesture recognition  surface electromyography (sEMG) sensor  transformer  
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：249/0  |  提交时间：2022/09/19
Anomaly localization (AL)  deep learning  industrial inspection  literature survey  unsupervised learning  
An Automatic Deep Segmentation Network for Pixel-Level Welding Defect Detection 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 10
作者:  Yang, Lei;  Song, Shouan;  Fan, Junfeng;  Huo, Benyan;  Li, En;  Liu, Yanhong
收藏  |  浏览/下载：202/0  |  提交时间：2022/06/06
Welding  Feature extraction  Image segmentation  Inspection  X-ray imaging  Manufacturing  Task analysis  Attention model  convolutional long short-term memory (ConvLSTM)  defect detection  feature fusion  hybrid loss  image segmentation  
A Novel Pixel-Wise Defect Inspection Method Based on Stable Background Reconstruction 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 13
作者:  Lv, Chengkan;  Shen, Fei;  Zhang, Zhengtao;  Xu, De;  He, Yonghao
Adobe PDF(4910Kb)  |  收藏  |  浏览/下载：292/64  |  提交时间：2021/11/03
Anomaly detection  autoencoder  background reconstruction  defect inspection  
ACR-Net: Attention Integrated and Cross-Spatial Feature Fused Rotation Network for Tubular Solder Joint Detection 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 12
作者:  Zhou, Chenlin;  Li, Daheng;  Wang, Peng;  Sun, Jia;  Huang, Yikun;  Li, Wanyi
收藏  |  浏览/下载：181/0  |  提交时间：2021/11/03
Deep learning  defect detection  object detection  tubular solder joint detection  
Combining Prior Knowledge With CNN for Weak Scratch Inspection of Optical Components 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 期号: 1, 页码: 11
作者:  Hou, Wei;  Tao, Xian;  Xu, De
Adobe PDF(6798Kb)  |  收藏  |  浏览/下载：390/132  |  提交时间：2021/03/08
Convolutional neural network (CNN)  direction-sensitive convolution (DSC)  local maximum index (LMI)  optical component  weak scratch inspection