中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共17条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Encoding-decoding Network With Pyramid Self-attention Module for Retinal Vessel Segmentation 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 973-980
作者:  Cong-Zhong Wu;  Jun Sun;  Jing Wang;  Liang-Feng Xu;  Shu Zhan
Adobe PDF(1416Kb)  |  收藏  |  浏览/下载：204/48  |  提交时间：2021/11/26
Retina vessel segmentation  deep learning  U-Net  attention mechanism  medical image  
Supervised and Semi-supervised Methods for Abdominalm Organ Segmentation: A Review 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 887-914
作者:  Isaac Baffour Senkyire;  Zhe Liu
Adobe PDF(1308Kb)  |  收藏  |  浏览/下载：255/53  |  提交时间：2021/11/26
Abdominal organ, supervised segmentation  semi-supervised segmentation  evaluation metrics  image segmentation  machine learning  
STRNet: Triple-stream Spatiotemporal Relation Network for Action Recognition 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 718-730
作者:  Zhi-Wei Xu;  Xiao-Jun Wu;  Josef Kittler
Adobe PDF(1129Kb)  |  收藏  |  浏览/下载：213/55  |  提交时间：2021/09/13
Action recognition  spatiotemporal relation  multi-branch fusion  long-term representation  video classification  
A Spatial Cognitive Model that Integrates the Effects of Endogenous and Exogenous Information on the Hippocampus and Striatum 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 632-644
作者:  Jing Huang;  He-Yuan Yang;  Xiao-Gang Ruan;  Nai-Gong Yu;  Guo-Yu Zuo;  Hao-Meng Liu
Adobe PDF(1915Kb)  |  收藏  |  浏览/下载：260/70  |  提交时间：2021/07/20
Exogenous and endogenous information  hippocampus, striatum  spatial cognition  brain-inspired computation  
Contrastive Self-supervised Representation Learning Using Synthetic Data 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 556-567
作者:  Dong-Yu She;  Kun Xu
Adobe PDF(993Kb)  |  收藏  |  浏览/下载：209/53  |  提交时间：2021/07/20
Self-supervised learning  contrastive learning  synthetic image  convolutional neural network  representation learning  
Evolutionary Computation in Social Propagation over Complex Networks: A Survey 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 503-520
作者:  Tian-Fang Zhao;  Wei-Neng Chen;  Xin-Xin Ma;  Xiao-Kun Wu
Adobe PDF(1283Kb)  |  收藏  |  浏览/下载：173/51  |  提交时间：2021/07/20
Evolutionary computation  complex network  propagation dynamics  social diffusion  evolution model  optimization algorithm  
A Comprehensive Review on Group Activity Recognition in Videos 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 334-350
作者:  Li-Fang Wu;  Qi Wang;  Meng Jian;  Yu Qiao;  Bo-Xuan Zhao
Adobe PDF(1415Kb)  |  收藏  |  浏览/下载：303/74  |  提交时间：2021/05/24
Group activity recognition (GAR)  human activity recognition  scene understanding  video analysis  computer vision  
Advances in Deep Learning Methods for Visual Tracking: Literature Review and Fundamentals 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 311-333
作者:  Xiao-Qin Zhang;  Run-Hua Jiang;  Chen-Xiang Fan;  Tian-Yu Tong;  Tao Wang Peng-Cheng Huang
Adobe PDF(1787Kb)  |  收藏  |  浏览/下载：311/52  |  提交时间：2021/05/24
Deep learning  visual tracking  data-invariant  data-adaptive  general components  
Evolutionary Computation for Large-scale Multi-objective Optimization: A Decade of Progresses 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 155-169
作者:  Wen-Jing Hong;  Peng Yang;  Ke Tang
Adobe PDF(946Kb)  |  收藏  |  浏览/下载：168/48  |  提交时间：2021/04/22
Large-scale multi-objective optimization  high-dimensional search space  evolutionary computation  evolutionary algorithms  scalability  
Transfer Hierarchical Attention Network for Generative Dialog System 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 720-736
作者:  Xiang Zhang;  Qiang Yang
浏览  |  Adobe PDF(1145Kb)  |  收藏  |  浏览/下载：113/35  |  提交时间：2021/02/22
Dialog system  transfer learning  deep learning  natural language processing (NLP)  artificial intelligence.