中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共35条，第1-10条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
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：252/53  |  提交时间：2021/11/26
Abdominal organ, supervised segmentation  semi-supervised segmentation  evaluation metrics  image segmentation  machine learning  
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：204/50  |  提交时间：2021/07/20
Self-supervised learning  contrastive learning  synthetic image  convolutional neural network  representation learning  
Ensuring the Correctness of Regular Expressions: A Review 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 521-535
作者:  Li-Xiao Zheng;  Shuai Ma;  Zu-Xi Chen;  Xiang-Yu Luo
Adobe PDF(1076Kb)  |  收藏  |  浏览/下载：136/43  |  提交时间：2021/07/20
Regular expressions  correctness  string generation  learning  static checking  verification  visualization, repairing  
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：167/47  |  提交时间：2021/07/20
Evolutionary computation  complex network  propagation dynamics  social diffusion  evolution model  optimization algorithm  
Skill Learning for Robotic Insertion Based on One-shot Demonstration and Reinforcement Learning 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 457-467
作者:  Ying Li;  De Xu
Adobe PDF(1450Kb)  |  收藏  |  浏览/下载：216/52  |  提交时间：2021/05/24
Force Jacobian matrix  one-shot demonstration  dynamic exploration strategy  insertion skill learning  reinforcement  
Learning Deep RGBT Representations for Robust Person Re-identification 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 443-456
作者:  Ai-Hua Zheng;  Zi-Han Chen;  Cheng-Long Li;  Jin Tang;  Bin Luo
Adobe PDF(1832Kb)  |  收藏  |  浏览/下载：291/64  |  提交时间：2021/05/24
Person re-identification (Re-ID)  thermal infrared  generative networks  attention  deep learning  
Deep Audio-Visual Learning: A Survey 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 351-376
作者:  Hao Zhu;  Man-Di Luo;  Rui Wang;  Ai-Hua Zheng;  Ran He
Adobe PDF(1864Kb)  |  收藏  |  浏览/下载：224/48  |  提交时间：2021/05/24
Deep audio-visual learning  audio-visual separation and localization  correspondence learning  generative models  representation learning  
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：297/46  |  提交时间：2021/05/24
Deep learning  visual tracking  data-invariant  data-adaptive  general components  
Camera-based Basketball Scoring Detection Using Convolutional Neural Network 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 266-276
作者:  Xu-Bo Fu;  Shao-Long Yue;  De-Yun Pan
Adobe PDF(4945Kb)  |  收藏  |  浏览/下载：175/57  |  提交时间：2021/04/22
Computer vision  convolutional neural network (CCN)  frame difference  motion detection  object detection  real-time system  
A Survey on Deep Learning-based Fine-grained Object Classification and Semantic Segmentation 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 2, 页码: 119-135
作者:  Bo Zhao;  Jiashi Feng;  Xiao Wu;  Shuicheng Yan
浏览  |  Adobe PDF(5409Kb)  |  收藏  |  浏览/下载：192/45  |  提交时间：2021/02/23
Deep learning  fine-grained image classi¯cation  semantic segmentation  convolutional neural network (CNN)  recurrent neural network (RNN).