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CASIA OpenIR

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Surface defect detection and semantic segmentation with a novel lightweight deep neural network 期刊论文
Measurement Science and Technology, 2024, 卷号: 35, 期号: 8, 页码: 14
作者:  Huang,Qiang;  Li,Fudong;  Yang,Yuequan;  Tao,Xian;  Li,Wei;  Wang,Xu;  Wang,Yong
收藏  |  浏览/下载：14/0  |  提交时间：2024/07/03
deep learning  surface defect detection  semantic segmentation  lightweight network  
Attention-Based Multiscale Feature Fusion for Efficient Surface Defect Detection 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 卷号: 73, 页码: 10
作者:  Zhao, Yuhao;  Liu, Qing;  Su, Hu;  Zhang, Jiabin;  Ma, Hongxuan;  Zou, Wei;  Liu, Song
收藏  |  浏览/下载：8/0  |  提交时间：2024/07/03
Attention mechanism  feature enhancement  feature fusion  object detection  surface defect detection  
Pavement Defect Detection with Deep Learning: A Comprehensive Survey 期刊论文
IEEE Transactions on Intelligent Vehicles, 2023, 卷号: 9, 期号: 3, 页码: 4292 - 4311
作者:  Lili Fan;  Dandan Wang;  Junhao Wang;  Yunjie Li;  Yifeng Cao;  Yi Liu;  Xiaoming Chen;  Yutong Wang
Adobe PDF(6287Kb)  |  收藏  |  浏览/下载：60/17  |  提交时间：2024/06/06
Deep learning  pavement defect detection  computer vision  image processing  3D image  
Enhancing Representation Power of Deep Neural Networks With Negligible Parameter Growth for Industrial Applications 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 页码: 12
作者:  Chen, Liangming;  Jin, Long;  Shang, Mingsheng;  Wang, Fei-Yue
收藏  |  浏览/下载：27/0  |  提交时间：2024/05/30
Residual neural networks  Vectors  Noise  Biological neural networks  Medical services  Defect detection  Agriculture  Deep neural networks (DNNs)  industrial applications  ordinary differential equation (ODE)  representation power  
Industry-oriented Detection Method of PCBA Defects Using Semantic Segmentation Models 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1438-1446
作者:  Yang Li;  Xiao Wang;  Zhifan He;  Ze Wang;  Ke Cheng;  Sanchuan Ding;  Yijing Fan;  Xiaotao Li;  Yawen Niu;  Shanpeng Xiao;  Zhenqi Hao;  Bin Gao;  Huaqiang Wu
Adobe PDF(12898Kb)  |  收藏  |  浏览/下载：53/18  |  提交时间：2024/05/22
Automated optical inspection (AOI)  deep learning  defect detection  printed circuit board assembly (PCBA)  semantic segmentation  
Deep Industrial Image Anomaly Detection: A Survey 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 104-135
作者:  Jiaqi Liu;  Guoyang Xie;  Jinbao Wang;  Shangnian Li;  Chengjie Wang;  Feng Zheng;  Yaochu Jin
Adobe PDF(3376Kb)  |  收藏  |  浏览/下载：66/13  |  提交时间：2024/04/23
Image anomaly detection, defect detection, industrial manufacturing, deep learning, computer vision  
Transmission Line Insulator Defect Detection Based on Swin Transformer and Context 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 729-740
作者:  Yu Xi;  Ke Zhou;  Ling-Wen Meng;  Bo Chen;  Hao-Min Chen;  Jing-Yi Zhang
Adobe PDF(18337Kb)  |  收藏  |  浏览/下载：59/15  |  提交时间：2024/04/23
Insulator defect, object detection, Swin transformer, data augmentation, context information  
Dual-Branch Learning With Prior Information for Surface Anomaly Detection 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 11
作者:  Wang, Shuyuan;  Lv, Chengkan;  Zhang, Zhengtao;  Wei, Xueyan
收藏  |  浏览/下载：137/0  |  提交时间：2023/11/16
Image reconstruction  Decoding  Anomaly detection  Training data  Feature extraction  Surface reconstruction  Training  anomaly escape  defect detection  dual-branch (DB) autoencoder (AE)  gated attention (GA)  overkill  
A Flexible Quality Inspection Robot System for Multi-type Surface Defects 会议论文
, 中国，昆明, 2022-8-12
作者:  Li Mingwei;  Shang Xiuqin;  Zhou Qianyu;  Shi Yali;  Zhang Zhengtao
Adobe PDF(910Kb)  |  收藏  |  浏览/下载：196/52  |  提交时间：2023/06/20
surface defect detection  robot system  3-dementional surface  
Mask-Guided Generation Method for Industrial Defect Images with Non-uniform Structures 期刊论文
MACHINES, 2022, 卷号: 10, 期号: 12, 页码: 17
作者:  Wei, Jing;  Zhang, Zhengtao;  Shen, Fei;  Lv, Chengkan
收藏  |  浏览/下载：156/0  |  提交时间：2023/03/20
industrial manufacturing  deep learning  data augmentation  defect generation  defect detection