×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
自动化研究所 [27]
武汉大学 [9]
北京航空航天大学 [8]
湖南大学 [8]
计算技术研究所 [4]
沈阳自动化研究所 [4]
更多...
内容类型
期刊论文 [58]
会议论文 [12]
其他 [1]
发表日期
2019 [71]
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共71条,第1-10条
帮助
限定条件
发表日期:2019
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
作者升序
作者降序
题名升序
题名降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
Adversarial image generation by combining content and style
期刊论文
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:14/0
  |  
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
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
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:0/0
  |  
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
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
NEURAL PROCESSING LETTERS, 2019, 页码: 18
作者:
Cheng, Long
;
Liu, Weizhou
收藏
  |  
浏览/下载:8/0
  |  
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
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:3/0
  |  
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
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
Deep Hashing Based on VAE-GAN for Efficient Similarity Retrieval
期刊论文
CHINESE JOURNAL OF ELECTRONICS, 2019, 卷号: 28, 期号: 6, 页码: 1191-1197
作者:
Jin, Guoqing
;
Zhang, Yongdong
;
Lu, Ke
收藏
  |  
浏览/下载:3/0
  |  
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
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:4/0
  |  
提交时间:2020/12/10
Unsupervised domain adaptation
Transfer channel pruning
Accelerating
Noise Prior Knowledge Learning for Speech Enhancement via Gated Convolutional Generative Adversarial Network
会议论文
Lanzhou, China, 18-21 Nov. 2019
作者:
Fan, Cunhang
;
Liu, Bin
;
Tao, Jianhua
;
Yi, Jiangyan
;
Wen, Zhengqi
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2021/06/01
©版权所有 ©2017 CSpace - Powered by
CSpace