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CASIA OpenIR

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A New Diagnosis Method with Few-shot Learning Based on a Class-rebalance Strategy for Scarce Faults in Industrial Processes 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 583-594
作者:  Xinyao Xu;  De Xu;  Fangbo Qin
Adobe PDF(1348Kb)  |  收藏  |  浏览/下载：1/0  |  提交时间：2024/04/23
Data augmentation, feature clustering, class-rebalance strategy, few-shot learning, fault diagnosis  
Multi-dimensional Classification via Selective Feature Augmentation 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 1, 页码: 38-51
作者:  Bin-Bin Jia;  Min-Ling Zhang
Adobe PDF(1015Kb)  |  收藏  |  浏览/下载：4/1  |  提交时间：2024/04/23
Machine learning  multi-dimensional classification  feature augmentation  feature selection  class dependencies  
Exploring Explicitly Disentangled Features for Domain Generalization 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 11, 页码: 6360-6373
作者:  Li, Jingwei;  Li, Yuan;  Wang, Huanjie;  Liu, Chengbao;  Tan, Jie
收藏  |  浏览/下载：64/0  |  提交时间：2023/12/21
Domain generalization  feature disentanglement  Fourier transform  data augmentation  
A Unified Multimodal De- and Re-Coupling Framework for RGB-D Motion Recognition 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 10, 页码: 11428-11442
作者:  Zhou, Benjia;  Wang, Pichao;  Wan, Jun;  Liang, Yanyan;  Wang, Fan
收藏  |  浏览/下载：130/0  |  提交时间：2023/11/16
Spatiotemporal phenomena  Representation learning  Training  Optimization  Task analysis  Three-dimensional displays  Solid modeling  Complement feature  late fusion  motion recognition  RGB-D  video augmentation  
A New Diagnosis Method with Few-shot Learning Based on a Class-rebalance Strategy for Scarce Faults in Industrial Processes 期刊论文
Machine Intelligence Research, 2023, 页码: 1-12
作者:  Xu, Xinyao;  Xu, De;  Qin, Fangbo
Adobe PDF(1677Kb)  |  收藏  |  浏览/下载：148/56  |  提交时间：2023/06/21
data augmentation  feature clustering  class-rebalance strategy  few-shot learning  fault diagnosis  
Pavement Cracks Coupled With Shadows: A New Shadow-Crack Dataset and A Shadow-Removal-Oriented Crack Detection Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1593-1607
作者:  Lili Fan;  Shen Li;  Ying Li;  Bai Li;  Dongpu Cao;  Fei-Yue Wang
Adobe PDF(23502Kb)  |  收藏  |  浏览/下载：86/13  |  提交时间：2023/06/14
Automatic pavement crack detection  data augmentation compensation  deep learning  residual feature augmentation  shadow removal  shadow-crack dataset  
Fuzzy Deep Forest With Deep Contours Feature for Leaf Cultivar Classification 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 卷号: 30, 期号: 12, 页码: 5431-5444
作者:  Zheng, Wenbo;  Yan, Lan;  Gou, Chao;  Wang, Fei-Yue
收藏  |  浏览/下载：185/0  |  提交时间：2023/01/09
Contour feature learning  data augmentation  deep forest  fuzzy logic  
Novel Feature Fusion Module-Based Detector for Small Insulator Defect Detection 期刊论文
IEEE SENSORS JOURNAL, 2021, 卷号: 21, 期号: 15, 页码: 16807-16814
作者:  Gao, Zishu;  Yang, Guodong;  Li, En;  Liang, Zize
收藏  |  浏览/下载：192/0  |  提交时间：2021/11/02
Feature extraction  Insulators  Sensors  Image segmentation  Inspection  Fuses  Support vector machines  Insulator defect detection  anchor-free object detection  data augmentation  aerial image  
Self-Supervised Feature Augmentation for Large Image Object Detection 期刊论文
IEEE Transactions on Image Processing, 2020, 卷号: 29, 期号: 0, 页码: 6745-6758
作者:  Pan, Xingjia;  Tang, Fan;  Dong, Weiming;  Gu, Yang;  Song, Zhichao;  Meng, Yiping;  Xu, Pengfei;  Oliver, Deussen;  Xu, Changsheng
浏览  |  Adobe PDF(5411Kb)  |  收藏  |  浏览/下载：277/61  |  提交时间：2020/12/21
object detection  large image  self-supervise  feature augmentation