中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共32条，第1-10条 帮助

限定条件            
已选(0)清除 条数/页：   排序方式：
Coordinated Control of Underwater Biomimetic Vehicle-Manipulator System for Free Floating Autonomous Manipulation 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 卷号: 51, 期号: 无, 页码: 无
作者:  Cai, Mingxue;  Wang, Shuo;  Wang, Yu;  Wang, Rui;  Tan, Min
浏览  |  Adobe PDF(2380Kb)  |  收藏  |  浏览/下载：300/73  |  提交时间：2020/05/07
Adaptive Tracking Differentiator (Atd)  Nonsingular Terminal Sliding-mode Control (Ntsmc)  Underwater Autonomous Manipulation  Vehicle–manipulator Coordinated Contron  
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
Adobe PDF(4319Kb)  |  收藏  |  浏览/下载：423/114  |  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  
A Gallery-Guided Graph Architecture for Sequential Impurity Detection 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 期号: 0, 页码: 149105-149116
作者:  He, Wenhao;  Song, Haitao;  Guo, Yue;  Yin, Xiaoyi;  Wang, Xiaonan;  Bian, Guibin;  Qian, Wen
浏览  |  Adobe PDF(3588Kb)  |  收藏  |  浏览/下载：338/57  |  提交时间：2020/03/30
Impurities  Proposals  Feature extraction  Training  Convolutional neural networks  Task analysis  Impurity detection  gallery-guided graph  feature embedding  graph convolutional neural network  
Convolutional relation network for skeleton-based action recognition 期刊论文
NEUROCOMPUTING, 2019, 卷号: 370, 期号: 1, 页码: 109-117
作者:  Zhu, Jiagang;  Zou, Wei;  Zhu, Zheng;  Hu, Yiming
浏览  |  Adobe PDF(1981Kb)  |  收藏  |  浏览/下载：428/94  |  提交时间：2020/03/30
Action recognition  Skeleton  Deep learning  Joint interaction  Dilation  Attention  
PKGCN: prior knowledge enhanced graph convolutional network for graph-based semi-supervised learning 期刊论文
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2019, 卷号: 10, 期号: 11, 页码: 3115-3127
作者:  Yu, Shaowei;  Yang, Xuebing;  Zhang, Wensheng
浏览  |  Adobe PDF(1959Kb)  |  收藏  |  浏览/下载：311/42  |  提交时间：2020/03/30
Graph convolutional network  Semi-supervised learning  Prior knowledge  Node classification  
Distributed consensus of networked markov jump multi-agent systems with mode-dependent event-triggered communications and switching topologies 期刊论文
PEER-TO-PEER NETWORKING AND APPLICATIONS, 2019, 卷号: 12, 页码: 1753-1760
作者:  Ma, Chao;  Kang, Erlong
Adobe PDF(1013Kb)  |  收藏  |  浏览/下载：400/65  |  提交时间：2020/03/30
Distributed consensus  Markov jump multi-agent systems  Mode-dependent event-triggered communication  Mode-dependent switching topologies  
Deep imitator: handwriting calligraphy imitation via deep attention networks 期刊论文
Pattern Recogniton, 2019, 期号: 已接收, 页码: 已接收
作者:  Zhao, Bocheng;  Tao, Jianhua;  Yang, Minghao;  Tian, Zhengkun;  Fan, Cunhang;  Bai, Ye
浏览  |  Adobe PDF(2498Kb)  |  收藏  |  浏览/下载：451/171  |  提交时间：2020/01/05
calligraphy imitation, attention, mata-style matrix, condition Gated Recurrent Unit  
ScaleNet_ a convolutional network to extract multi-scale and fine-grained visual features 期刊论文
IEEE Access, 2019, 期号: 7, 页码: 147560-147570
作者:  Zhang Jinpeng;  Zhang Jinming;  Hu Guyue;  Cheng Yang;  Yu Shan
浏览  |  Adobe PDF(1764Kb)  |  收藏  |  浏览/下载：345/97  |  提交时间：2019/12/31
Image Classification  Convolutional Neural Networks  Resnet  Deconvolution  
Learning graph structure via graph convolutional networks 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 95, 期号: -, 页码: 308-318
作者:  Zhang, Qi;  Chang, Jianlong;  Meng, Gaofeng;  Xu, Shibiao;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(2475Kb)  |  收藏  |  浏览/下载：468/110  |  提交时间：2019/12/16
Deep learning  Graph convolutional neural networks  Graph structure learning  Changeable kernel sizes  
Structure Preserving Convolutional Attention for Image Captioning 期刊论文
APPLIED SCIENCES-BASEL, 2019, 卷号: 9, 期号: 14, 页码: 10
作者:  Lu, Shichen;  Hu, Ruimin;  Liu, Jing;  Guo, Longteng;  Zheng, Fei
Adobe PDF(2351Kb)  |  收藏  |  浏览/下载：285/39  |  提交时间：2019/12/16
image captioning  attention  spatial structure  deep learning  computer vision