中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共23条，第1-10条 帮助

限定条件            
已选(0)清除 条数/页：   排序方式：
Multi-Domain Image-to-Image Translation via a Unified Circular Framework 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 期号: 30, 页码: 670-684
作者:  Wang, Yuxi;  Zhang, Zhaoxiang;  Hao, Wangli;  Song, Chunfeng
Adobe PDF(3399Kb)  |  收藏  |  浏览/下载：348/67  |  提交时间：2021/03/02
Task analysis  Semantics  Visualization  Generative adversarial networks  Generators  Feature extraction  Meteorology  Image-to-image transfer  sharing knowledge module  multiple domain pairs  GANs  
SACNN: Spatial Adversarial Convolutional Neural Network for Textile Defect Detection 期刊论文
FIBRES & TEXTILES IN EASTERN EUROPE, 2020, 卷号: 28, 期号: 6, 页码: 127-133
作者:  Hou, Wei;  Tao, Xian;  Ma, Wenzhi;  Xu, De
Adobe PDF(3209Kb)  |  收藏  |  浏览/下载：217/7  |  提交时间：2021/03/02
textile defect detection  feature extraction  feature competition  CNN  
Attention Guided Multiple Source and Target Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 期号: 30, 页码: 892-906
作者:  Wang, Yuxi;  Zhang, Zhaoxiang;  Hao, Wangli;  Song, Chunfeng
Adobe PDF(3460Kb)  |  收藏  |  浏览/下载：318/52  |  提交时间：2021/03/02
Semantics  Task analysis  Generators  Generative adversarial networks  Feature extraction  Visualization  Meteorology  Domain adaptation  multiple source and target domains  attention  
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：273/60  |  提交时间：2021/01/06
Bearing  Fault diagnosis  Domain adaptation  Prototype learning  
Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 9703-9718
作者:  Tian, Lei;  Tang, Yongqiang;  Hu, Liangchen;  Ren, Zhida;  Zhang, Wensheng
Adobe PDF(3443Kb)  |  收藏  |  浏览/下载：374/78  |  提交时间：2021/01/06
Domain adaptation  class centroid matching  local manifold self-learning  
Reducing Calibration Efforts in RSVP Tasks With Multi-Source Adversarial Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2020, 卷号: 28, 期号: 11, 页码: 2344-2355
作者:  Wei, Wei;  Qiu, Shuang;  Ma, Xuelin;  Li, Dan;  Wang, Bo;  He, Huiguang
浏览  |  Adobe PDF(2448Kb)  |  收藏  |  浏览/下载：425/112  |  提交时间：2021/01/06
Electroencephalography  Calibration  Correlation  Brain modeling  Task analysis  Feature extraction  Visualization  EEG  RSVP-based BCI  calibration reduction  multi-source domain adaptation  correlation metric learning  
Cascaded one-shot deformable convolutional neural networks: Developing a deep learning model for respiratory motion estimation in ultrasound sequences 期刊论文
Medical Image Analysis, 2020, 卷号: 65, 期号: 65, 页码: 101793
作者:  Fei Liu;  Dan Liu;  Jie Tian;  Xiaoyan Xie;  Xin Yang;  Wang K(王坤)
浏览  |  Adobe PDF(3180Kb)  |  收藏  |  浏览/下载：213/58  |  提交时间：2020/11/02
Ultrasound sequence  Respiratory motion estimation  Cascaded Siamese network  One-shot deformable convolution  
CADN: A weakly supervised learning-based category-aware object detection network for surface defect detection 期刊论文
Pattern Recognition, 2020, 卷号: 109, 期号: 0, 页码: 10
作者:  Zou W(邹伟)
浏览  |  Adobe PDF(1839Kb)  |  收藏  |  浏览/下载：177/51  |  提交时间：2020/10/22
Weakly supervised learning, Automated surface inspection, Defect detection, Knowledge distillation  
Using deep learning to predict the hand-foot-and-mouth disease of enterovirus A71 subtype in Beijing from 2011 to 2018 期刊论文
SCIENTIFIC REPORTS, 2020, 卷号: 10, 期号: 1, 页码: 10
作者:  Wang, Yuejiao;  Cao, Zhidong;  Zeng, Daniel;  Wang, Xiaoli;  Wang, Quanyi
Adobe PDF(1497Kb)  |  收藏  |  浏览/下载：276/64  |  提交时间：2020/09/07
Improve Person Re-Identification With Part Awareness Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 7468-7481
作者:  Huang, Houjing;  Yang, Wenjie;  Lin, Jinbin;  Huang, Guan;  Xu, Jiamiao;  Wang, Guoli;  Chen, Xiaotang;  Huang, Kaiqi
Adobe PDF(3927Kb)  |  收藏  |  浏览/下载：346/66  |  提交时间：2020/08/31
Person re-identification  part awareness  part segmentation  multi-task learning