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科研机构
北京航空航天大学 [10]
内容类型
期刊论文 [10]
发表日期
2019 [4]
2018 [6]
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内容类型:期刊论文
专题:北京航空航天大学
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Towards Real-Time Advancement of Underwater Visual Quality With GAN
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 卷号: 66, 页码: 9350-9359
作者:
Chen, Xingyu
;
Yu, Junzhi
;
Kong, Shihan
;
Wu, Zhengxing
;
Fang, Xi
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/12/30
Generative adversarial networks (GAN) image restoration
machine learning
underwater vision
Integrated GANs: Semi-Supervised SAR Target Recognition
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 113999-114013
作者:
Gao, Fei
;
Liu, Qiuyang
;
Sun, Jinping
;
Hussain, Amir
;
Zhou, Huiyu
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Synthetic aperture radar (SAR)
generative adversarial networks (GANs)
semi-supervised learning
generation
recognition
A Patient-Independent CT Intensity Correction Method Using Generative Adversarial Networks (GAN) for Single X-Ray Based Tumor Localization
期刊论文
MEDICAL PHYSICS, 2019, 卷号: 46, 页码: E126-E126
作者:
Wei, R.
;
Zhou, F.
;
Liu, B.
;
Bai, X.
;
Wu, Q.
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/30
Unsupervised Learning for Cell-Level Visual Representation in Histopathology Images With Generative Adversarial Networks
期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2019, 卷号: 23, 页码: 1316-1328
作者:
Hu, Bo
;
Tang, Ye
;
Chang, Eric I-Chao
;
Fan, Yubo
;
Lai, Maode
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2019/12/30
Unsupervised learning
representation learning
generative adversarial networks
classification
cell
Learning robust features by extended generative stochastic networks
期刊论文
International Journal of Modeling, Simulation, and Scientific Computing, 2018, 卷号: 9
作者:
Teng, D.
;
Song, X.
;
Gong, G.
;
Zhou, J.
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/30
Deep learning
Education
Learning systems
Neural networks
Object recognition
Stochastic systems
adversarial examples
Feed-forward network
Lateral connections
Overfitting
Random noise
State-of-the-art performance
Stochastic networks
Deep neural networks
Semi-Supervised Generative Adversarial Nets with Multiple Generators for SAR Image Recognition
期刊论文
SENSORS, 2018, 卷号: 18
作者:
Gao, Fei
;
Ma, Fei
;
Wang, Jun
;
Sun, Jinping
;
Yang, Erfu
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/30
Generative Adversarial Networks (GANs)
semi-supervised recognition
Synthetic Aperture Radar (SAR)
deep learning
Unsupervised Learning For Cell-level Visual Representation with Generative Adversarial Networks
期刊论文
IEEE Journal of Biomedical and Health Informatics, 2018
作者:
Hu, B.
;
Tang, Y.
;
Chang, E.I.
;
Fan, Y.
;
Lai, M.
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Bone
Cells
Classification (of information)
Computer architecture
Feature extraction
Flow visualization
Gallium nitride
III-V semiconductors
Image segmentation
Medical imaging
Network architecture
Unsupervised learning
Visualization
Adversarial networks
Biomedical imaging
Cellular components
Nuclear morphology
Nuclei segmentation
representation learning
Unsupervised classification
Visual representations
Cytology
Auto-painter: Cartoon image generation from sketch by using conditional Wasserstein generative adversarial networks
期刊论文
NEUROCOMPUTING, 2018, 卷号: 311, 页码: 78-87
作者:
Liu, Yifan
;
Qin, Zengchang
;
Wan, Tao
;
Luo, Zhenbo
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/30
Auto-painter
GAN
Wasserstein distance
WGAN
Deep learning
Neural networks
A Deep Convolutional Generative Adversarial Networks (DCGANs)-Based Semi-Supervised Method for Object Recognition in Synthetic Aperture Radar (SAR) Images
期刊论文
REMOTE SENSING, 2018, 卷号: 10
作者:
Gao, Fei
;
Yang, Yue
;
Wang, Jun
;
Sun, Jinping
;
Yang, Erfu
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
SAR target recognition
semi-supervised
DCGANs
joint training
High-quality face image generated with conditional boundary equilibrium generative adversarial networks
期刊论文
PATTERN RECOGNITION LETTERS, 2018, 卷号: 111, 页码: 72-79
作者:
Huang, Bin
;
Chen, Weihai
;
Wu, Xingming
;
Lin, Chun-Liang
;
Suganthan, Ponnuthurai Nagaratnam
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/30
Super resolution
Generative Adversarial Network (GAN)
Face hallucination
Convolutional Neural Network (CNN)
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