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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：250/52  |  提交时间：2021/11/26
Abdominal organ, supervised segmentation  semi-supervised segmentation  evaluation metrics  image segmentation  machine 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：220/46  |  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：290/44  |  提交时间：2021/05/24
Deep learning  visual tracking  data-invariant  data-adaptive  general components  
fMRI-based Decoding of Visual Information from Human Brain Activity: A Brief Review 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 170-184
作者:  Shuo Huang;  Wei Shao;  Mei-Ling Wang;  Dao-Qiang Zhang
Adobe PDF(4328Kb)  |  收藏  |  浏览/下载：169/44  |  提交时间：2021/04/22
Functional magnetic resonance imaging (fMRI)  functional alignment  brain activity, brain decoding  visual stimuli reconstruction  
Why and When Can Deep-but Not Shallow-networks Avoid the Curse of Dimensionality: A Review 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 5, 页码: 503-519
作者:  Tomaso Poggio;  Hrushikesh Mhaskar;  Lorenzo Rosasco;  Brando Miranda;  Qianli Liao
浏览  |  Adobe PDF(1711Kb)  |  收藏  |  浏览/下载：209/32  |  提交时间：2021/02/23
Deep learning  fine-grained image classification  semantic segmentation  convolutional neural network (CNN)  recurrent neural network (RNN).  
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：189/44  |  提交时间：2021/02/23
Deep learning  fine-grained image classi¯cation  semantic segmentation  convolutional neural network (CNN)  recurrent neural network (RNN).  
Saliency Detection via Manifold Ranking Based on Robust Foreground 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 1, 页码: 73-84
作者:  Wei-Ping Ma;  Wen-Xin Li;  Jin-Chuan Sun;  Peng-Xia Cao
浏览  |  Adobe PDF(3408Kb)  |  收藏  |  浏览/下载：193/46  |  提交时间：2021/02/23
Saliency detection  manifold ranking  boundary connectivity  convex hull  robust foreground  
Knowing Your Dog Breed: Identifying a Dog Breed with Deep Learning 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 1, 页码: 45-54
作者:  Punyanuch Borwarnginn;  Worapan Kusakunniran;  Sarattha Karnjanapreechakorn;  Kittikhun Thongkanchorn
浏览  |  Adobe PDF(1149Kb)  |  收藏  |  浏览/下载：210/77  |  提交时间：2021/02/23
Computer vision  deep learning  dog breed classification  transfer learning  image augmentation  
Computational Intelligence in Remote Sensing Image Registration: A survey 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 1, 页码: 1-17
作者:  Yue Wu;  Jun-Wei Liu;  Chen-Zhuo Zhu;  Zhuang-Fei Bai;  Qi-Guang Miao;  Wen-Ping Ma;  Mao-Guo Gong
浏览  |  Adobe PDF(995Kb)  |  收藏  |  浏览/下载：284/74  |  提交时间：2021/02/23
Computational intelligence  evolutionary computation  neural network  deep learning  remote sensing image registration  
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：268/92  |  提交时间：2021/02/23
Contour detection  contour salience  gestalt principle  contour grouping  active contour.