中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [27]
计算技术研究所 [4]
沈阳自动化研究所 [3]
国家空间科学中心 [1]
国家天文台 [1]
声学研究所 [1]
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采集方式
OAI收割 [37]
内容类型
期刊论文 [29]
会议论文 [8]
发表日期
2019 [37]
学科主题
语音处理 [1]
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发表日期:2019
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Adversarial image generation by combining content and style
期刊论文
OAI收割
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 14, 页码: 2716-2723
作者:
Liu, Songyan
;
Zhao, Chaoyang
;
Gao, Yunze
;
Wang, Jinqiao
;
Tang, Ming
  |  
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2020/03/30
image recognition
feature extraction
learning (artificial intelligence)
image texture
adversarial image generation
unique style
reference images
style feature extraction module
style specific image generation model
double-cycle training strategy
natural-content pairs
input natural images
style exchange
style-exchanged images
licence-plate image
handbags images
Towards Real-Time Advancement of Underwater Visual Quality With GAN
期刊论文
OAI收割
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 卷号: 66, 期号: 12, 页码: 9350-9359
作者:
Chen, Xingyu
;
Yu, Junzhi
;
Kong, Shihan
;
Wu, Zhengxing
;
Fang, Xi
  |  
收藏
  |  
浏览/下载:69/0
  |  
提交时间:2019/12/16
Generative adversarial networks (GAN) image restoration
machine learning
underwater vision
Multi-Agent Reinforcement Learning Based on Clustering in Two-Player Games
会议论文
OAI收割
Xiamen, China, 2019-12-6
作者:
Li WF(李伟凡)
;
Zhu YH(朱圆恒)
;
Zhao DB(赵冬斌)
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2023/06/28
reinforcement learning
unsupervised clustering
matrix game
G-GANISR: Gradual generative adversarial network for image super resolution
期刊论文
OAI收割
NEUROCOMPUTING, 2019, 卷号: 366, 页码: 140-153
作者:
Shamsolmoali, Pourya
;
Zareapoor, Masoumeh
;
Wang, Ruili
;
Jain, Deepak Kumar
;
Yang, Jie
  |  
收藏
  |  
浏览/下载:67/0
  |  
提交时间:2019/12/16
Image super-resolution
Loss functions
GAN
CNN
Gradual learning
An Effective Microscopic Detection Method for Automated Silicon-Substrate Ultra-microtome (ASUM)
期刊论文
OAI收割
NEURAL PROCESSING LETTERS, 2019, 页码: 18
作者:
Cheng, Long
;
Liu, Weizhou
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2020/03/30
Microscopic object detection
Deep learning
Data augmentation
Serial sections
Recognizing Profile Faces by Imagining Frontal View
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2019, 页码: 19
作者:
Zhao, Jian
;
Xing, Junliang
;
Xiong, Lin
;
Yan, Shuicheng
;
Feng, Jiashi
  |  
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2020/03/30
Pose-invariant face recognition
Face frontalization
Cross-domain adversarial learning
Meta-learning
Learning to learn
Enforced cross-entropy optimization
Generative adversarial networks
AttGAN: Facial Attribute Editing by Only Changing What You Want
期刊论文
OAI收割
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 11, 页码: 5464-5478
作者:
He, Zhenliang
;
Zuo, Wangmeng
;
Kan, Meina
;
Shan, Shiguang
;
Chen, Xilin
  |  
收藏
  |  
浏览/下载:82/0
  |  
提交时间:2019/12/10
Facial attribute editing
attribute style manipulation
adversarial learning
Noise Prior Knowledge Learning for Speech Enhancement via Gated Convolutional Generative Adversarial Network
会议论文
OAI收割
Lanzhou, China, 18-21 Nov. 2019
作者:
Fan, Cunhang
;
Liu, Bin
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2021/06/01
Deep Hashing Based on VAE-GAN for Efficient Similarity Retrieval
期刊论文
OAI收割
CHINESE JOURNAL OF ELECTRONICS, 2019, 卷号: 28, 期号: 6, 页码: 1191-1197
作者:
Jin, Guoqing
;
Zhang, Yongdong
;
Lu, Ke
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收藏
  |  
浏览/下载:12/0
  |  
提交时间:2020/12/10
file organisation
image retrieval
learning (artificial intelligence)
neural nets
pairwise hashing learning
semantic perserving feature mapping model
adversarial generative process
image feature vector
hash codes
pairwise ranking loss
generative networks
VAE-GAN based hashing framework
image retrieval
content preserving images
similarity retrieval
variational autoencoder
generative adversarial network
Image retrieval
Learning to hash
Variational autoencoder(VAE)
Generative adversarial network(GAN)
Transfer channel pruning for compressing deep domain adaptation models
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2019, 卷号: 10, 期号: 11, 页码: 3129-3144
作者:
Yu, Chaohui
;
Wang, Jindong
;
Chen, Yiqiang
;
Qin, Xin
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2020/12/10
Unsupervised domain adaptation
Transfer channel pruning
Accelerating