中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共10条，第1-10条 帮助

限定条件                    
已选(0)清除 条数/页：   排序方式：
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：40/16  |  提交时间：2024/06/04
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：212/71  |  提交时间：2023/06/21
data augmentation  feature clustering  class-rebalance strategy  few-shot learning  fault diagnosis  
Directed Data Association for Single Object Tracking in Point Clouds 会议论文
, 线上, 2022-4-1
作者:  Zhang,Yongchang;  He,Wenhao
Adobe PDF(1355Kb)  |  收藏  |  浏览/下载：101/29  |  提交时间：2023/05/29
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：279/5  |  提交时间：2022/09/19
Anomaly localization (AL)  deep learning  industrial inspection  literature survey  unsupervised learning  
Cross-domain few-shot learning approach for lithium-ion battery surface defects classification using an improved siamese network 期刊论文
IEEE SENSORS JOURNAL, 2022, 页码: 1-1
作者:  Wu, Ke;  Tan, Jie;  Liu, Cheng Bao
Adobe PDF(5175Kb)  |  收藏  |  浏览/下载：347/125  |  提交时间：2022/06/14
Few-shot Learning  3D measurement  defect detection  image classification  
Unsupervised Anomaly Detection for Surface Defects with Dual-Siamese Network 期刊论文
IEEE Transactions on Industrial Informatics, 2022, 卷号: 1, 期号: 1, 页码: 1-11
作者:  Tao X(陶显);  Da-Peng Zhang;  Ma WZ(马文治);  Hou ZX(侯占新);  Lu ZF(逯正峰);  Chandranath Adak
Adobe PDF(8384Kb)  |  收藏  |  浏览/下载：300/70  |  提交时间：2022/03/03
缺陷检测  
Cross-attention-map-based regularization for adversarial domain adaptation 期刊论文
NEURAL NETWORKS, 2022, 卷号: 145, 页码: 128-138
作者:  Jingwei, Li;  Huanjie, Wang;  Ke, Wu;  Chengbao, Liu;  Jie, Tan
Adobe PDF(1969Kb)  |  收藏  |  浏览/下载：273/15  |  提交时间：2021/12/28
Domain adaptation  Few-shot learning  Attention mechanism  Contrastive learning  
Deep prototypical networks based domain adaptation for fault diagnosis 期刊论文
JOURNAL OF INTELLIGENT MANUFACTURING, 2020, 页码: 11
作者:  Wang, Huanjie;  Bai, Xiwei;  Tan, Jie;  Yang, Jiechao
Adobe PDF(1084Kb)  |  收藏  |  浏览/下载：280/63  |  提交时间：2021/01/06
Bearing  Fault diagnosis  Domain adaptation  Prototype learning  
Attention-guided Unified Network for Panoptic Segmentation 会议论文
, 美国长滩, 2019.6.16-2019.6.20
作者:  Li, Yanwei;  Chen, Xinze;  Zhu, Zheng;  Xie, Lingxi;  Huang, Guan;  Du, Dalong;  Wang, Xingang
浏览  |  Adobe PDF(3076Kb)  |  收藏  |  浏览/下载：198/79  |  提交时间：2020/06/10
End-to-end Flow Correlation Tracking with Spatial-temporal Attention 会议论文
, 盐湖城, 2018
作者:  Zhu Z(朱政);  Wu W(武伟);  Zou W(邹伟);  Yan JJ(闫俊杰)
浏览  |  Adobe PDF(1325Kb)  |  收藏  |  浏览/下载：268/86  |  提交时间：2019/04/30