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CASIA OpenIR

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Pixel-Level Contrastive Pretrainer for Industrial Image Representation 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 卷号: 73, 页码: 13
作者:  Zhu, Bingke;  Chen, Yingying;  Tang, Ming;  Wang, Jinqiao
收藏  |  浏览/下载：3/0  |  提交时间：2024/07/03
Task analysis  Feature extraction  Anomaly detection  Transformers  Production  Inspection  Convolutional neural networks  Ind-2M  industrial image representation  Pixel-level COntrastive (PiCO)  pixel-level contrastive learning  pretrainer  
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：53/9  |  提交时间：2024/04/23
Image anomaly detection, defect detection, industrial manufacturing, deep learning, computer vision  
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：128/0  |  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 Novel Parameter-Optimized Recurrent Attention Network for Pipeline Leakage Detection 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 4, 页码: 1064-1076
作者:  Tong Sun;  Chuang Wang;  Hongli Dong;  Yina Zhou;  Chuang Guan
Adobe PDF(3211Kb)  |  收藏  |  浏览/下载：283/71  |  提交时间：2023/03/22
Anomaly-attention mechanism (AM)  long short-term memory (LSTM)  parameter-optimized recurrent attention network (PRAN)  particle swarm optimization (PSO)  pipeline leakage detection (PLD)  
A Survey on Attack Detection and Resilience for Connected and Automated Vehicles: From Vehicle Dynamics and Control Perspective 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2022, 卷号: 7, 期号: 4, 页码: 815-837
作者:  Ju, Zhiyang;  Zhang, Hui;  Li, Xiang;  Chen, Xiaoguang;  Han, Jinpeng;  Yang, Manzhi
收藏  |  浏览/下载：116/0  |  提交时间：2023/03/20
Connected vehicles  Anomaly detection  Connected and automated vehicles  attack  anomaly detection  resilience strategy  safety and security  
Deep Domain-Adversarial Anomaly Detection With One-Class Transfer Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 2, 页码: 524-546
作者:  Wentao Mao;  Gangsheng Wang;  Linlin Kou;  Xihui Liang
Adobe PDF(25706Kb)  |  收藏  |  浏览/下载：695/43  |  提交时间：2023/01/16
Anomaly detection  domain adaptation  domain-adversarial training  one-class classification  transfer learning  
Anomaly Detection with GRU Based Bi-autoencoder for Industrial Multimode Process 期刊论文
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2022, 页码: 14
作者:  Xu, Xinyao;  Qin, Fangbo;  Zhao, Wenjun;  Xu, De;  Wang, Xingang;  Yang, Xihao
收藏  |  浏览/下载：230/0  |  提交时间：2022/06/10
Anomaly detection  autoencoder  gated recurrent unit  multimode process  
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：311/67  |  提交时间：2021/11/03
Anomaly detection  autoencoder  background reconstruction  defect inspection  
A Cognitive Memory-Augmented Network for Visual Anomaly Detection 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 7, 页码: 1296-1307
作者:  Tian Wang;  Xing Xu;  Fumin Shen;  Yang Yang
Adobe PDF(6796Kb)  |  收藏  |  浏览/下载：178/66  |  提交时间：2021/06/11
Cognitive computing  density estimation  memory  visual analysis systems  visual anomaly detection  
Few-shot learning approach for 3D defect detection in lithium battery 期刊论文
Journal of Physics: Conference Series, 2021, 卷号: 1884, 期号: 1, 页码: 012024
作者:  Wu,Ke;  Tan,Jie;  Li,Jingwei;  Liu,Chengbao
Adobe PDF(4836Kb)  |  收藏  |  浏览/下载：287/52  |  提交时间：2021/05/24
Anomaly Detection  Few-shot Learning