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科研机构
自动化研究所 [10]
计算技术研究所 [1]
沈阳自动化研究所 [1]
内容类型
期刊论文 [9]
会议论文 [3]
发表日期
2021 [12]
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Multi-objective evolutionary 3D face reconstruction based on improved encoder-decoder network
期刊论文
INFORMATION SCIENCES, 2021, 卷号: 581, 页码: 233-248
作者:
Cai, Xingjuan
;
Cao, Yihao
;
Ren, Yeqing
;
Cui, Zhihua
;
Zhang, Wensheng
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  |  
浏览/下载:59/0
  |  
提交时间:2021/12/28
3D face reconstruction
Multi-objective evolutionary
Regularization algorithm
Computer vision
Automatic Unsupervised Fabric Defect Detection Based on Self-Feature Comparison
期刊论文
ELECTRONICS, 2021, 卷号: 10, 期号: 21, 页码: 14
作者:
Peng, Zhengrui
;
Gong, Xinyi
;
Wei, Bengang
;
Xu, Xiangyi
;
Meng, Shixiong
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  |  
浏览/下载:25/0
  |  
提交时间:2021/12/28
fabric defect
unsupervised learning
computer vision
deep learning
Self-backpropagation of synaptic modifications elevates the efficiency of spiking and artificial neural networks
期刊论文
SCIENCE ADVANCES, 2021, 卷号: 7, 期号: 43, 页码: 11
作者:
Zhang, Tielin
;
Cheng, Xiang
;
Jia, Shuncheng
;
Poo, Mu-Ming
;
Zeng, Yi
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2021/12/28
Semi-supervised anomaly detection in dynamic communication networks
期刊论文
INFORMATION SCIENCES, 2021, 卷号: 571, 页码: 527-542
作者:
Meng, Xuying
;
Wang, Suhang
;
Liang, Zhimin
;
Yao, Di
;
Zhou, Jihua
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  |  
浏览/下载:51/0
  |  
提交时间:2021/12/01
Anomaly detection
Semi-supervised learning
Generative adversarial networks
Self-learning
A Self-Supervised CNN for Particle Inspection on Optical Element
期刊论文
IEEE Transactions on Instrumentation and Measurement, 2021, 卷号: 70, 期号: 1, 页码: 1-12
作者:
Hou W(侯伟)
;
Tao X(陶显)
;
Xu D(徐德)
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  |  
浏览/下载:58/0
  |  
提交时间:2021/06/21
Inspection
Feature reuse
optical element
particle inspection
self-supervised learning
transfer learning
Deep Self-Supervised Representation Learning for Free-Hand Sketch
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 4, 页码: 1503-1513
作者:
Xu, Peng
;
Song, Zeyu
;
Yin, Qiyue
;
Song, Yi-Zhe
;
Wang, Liang
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  |  
浏览/下载:26/0
  |  
提交时间:2021/05/17
Feature extraction
Task analysis
Strain
Computer architecture
Deep learning
Deformable models
Convolution
Self-supervised
representation learning
deep learning
sketch
pretext task
textual convolution network
convolutional neural network
Contrastive Self-supervised Representation Learning Using Synthetic Data
期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 556-567
作者:
Dong-Yu She
;
Kun Xu
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  |  
浏览/下载:14/0
  |  
提交时间:2021/07/20
Self-supervised learning
contrastive learning
synthetic image
convolutional neural network
representation learning
Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 5, 页码: 2020-2033
作者:
Dong JH(董家华)
;
Cong Y(丛杨)
;
Sun G(孙干)
;
Yang YS(杨云生)
;
Xu XW(徐晓伟)
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  |  
浏览/下载:19/0
  |  
提交时间:2020/10/24
Weakly-supervised learning
endoscopic lesions segmentation
semantic knowledge transfer
domain adaptation
Contrastive Uncertainty learning for iris recognition with insufficient labeled samples
会议论文
Shenzhen, China, 04-07 August 2021
作者:
Wei Jianze
;
He Ran
;
Sun Zhenan
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  |  
浏览/下载:4/0
  |  
提交时间:2022/06/14
Supervised and Semi-supervised Methods for Abdominalm Organ Segmentation: A Review
期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 887-914
作者:
Isaac Baffour Senkyire
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  |  
浏览/下载:13/0
  |  
提交时间:2021/11/26
Abdominal organ, supervised segmentation
semi-supervised segmentation
evaluation metrics
image segmentation
machine learning
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