中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共6条，第1-6条 帮助

限定条件                    
已选(0)清除 条数/页：   排序方式：
Fault Classification for On-board Equipment of High-speed Railway Based on Attention Capsule Network 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 814-825
作者:  Lu-Jie Zhou;  Jian-Wu Dang;  Zhen-Hai Zhan
Adobe PDF(1208Kb)  |  收藏  |  浏览/下载：256/59  |  提交时间：2021/09/13
On-board equipment  fault classification  capsule network  attention mechanism  focal loss  
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：298/46  |  提交时间：2021/05/24
Deep learning  visual tracking  data-invariant  data-adaptive  general components  
An Overview of Contour Detection Approaches 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 6, 页码: 656-672
作者:  Xin-Yi Gong;  Hu Su;  De Xu;  Zheng-Tao Zhang;  Fei Shen;  Hua-Bin Yang
浏览  |  Adobe PDF(1828Kb)  |  收藏  |  浏览/下载：272/94  |  提交时间：2021/02/23
Contour detection  contour salience  gestalt principle  contour grouping  active contour.  
Deep Learning Based Single Image Super-resolution: A Survey 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 413-426
作者:  Viet Khanh Ha;  Jin-Chang Ren;  Xin-Ying Xu;  Sophia Zhao;  Gang Xie;  Valentin Masero;  Amir Hussain
浏览  |  Adobe PDF(1389Kb)  |  收藏  |  浏览/下载：149/39  |  提交时间：2021/02/22
Image super-resolution  convolutional neural network  high-resolution image  low-resolution image  deep learning.  
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 151-178
作者:  Han Xu;  Yao Ma;  Hao-Chen Liu;  Debayan Deb;  Hui Liu;  Ji-Liang Tang;  Anil K. Jain
浏览  |  Adobe PDF(2155Kb)  |  收藏  |  浏览/下载：239/68  |  提交时间：2021/02/22
Adversarial example  model safety  robustness  defenses  deep learning.  
A Novel Self-adaptive Circuit Design Technique Based on Evolvable Hardware 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 744-751
作者:  Jun-Bin Zhang;  Jin-Yan Cai;  Ya-Feng Meng;  Tian-Zhen Meng
浏览  |  Adobe PDF(5663Kb)  |  收藏  |  浏览/下载：134/43  |  提交时间：2021/02/22
Circuit design  self-adaptive design  redundant fault tolerance technique  evolvable hardware (EHW)  evolutionary algorithms (EA).