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科研机构
北京航空航天大学 [20]
内容类型
会议论文 [10]
期刊论文 [10]
发表日期
2019 [6]
2018 [13]
2017 [1]
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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
会议论文
MEDICAL PHYSICS, 2019-06-01
作者:
Wei, R.
;
Zhou, F.
;
Liu, B.
;
Bai, X.
;
Wu, Q.
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/30
PIXEL LEVEL DATA AUGMENTATION FOR SEMANTIC IMAGE SEGMENTATION USING GENERATIVE ADVERSARIAL NETWORKS
会议论文
2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2019-01-01
作者:
Liu, Shuangting
;
Zhang, Jiaqi
;
Chen, Yuxin
;
Liu, Yifan
;
Qin, Zengchang
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/12/30
Data augmentation
generative adversarial networks (GANs)
semantic segmentation
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
Automatic Beautification for Group-Photo Facial Expressions Using Novel Bayesian GANs
会议论文
ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2018, PT I, 2018-01-01
作者:
Liu, Ji
;
Li, Shuai
;
Song, Wenfeng
;
Liu, Liang
;
Qin, Hong
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/30
Beautification of group-photo facial expressions
Multi-label CNN
Bayesian networks
Generative adversarial networks
Poisson fusion
GAN-NL: UNSUPERVISED REPRESENTATION LEARNING FOR REMOTE SENSING IMAGE CLASSIFICATION
会议论文
2018 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP 2018), 2018-01-01
作者:
Duan, Yiping
;
Tao, Xiaoming
;
Xu, Mai
;
Han, Chaoyi
;
Lu, Jianhua
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/30
Non-local spatial information
generative adversarial networks (GANs)
unsupervised representation learning
remote sensing image classification
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