中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共26条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Low-Rank Optimal Transport for Robust Domain Adaptation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1667-1680
作者:  Bingrong Xu;  Jianhua Yin;  Cheng Lian;  Yixin Su;  Zhigang Zeng
Adobe PDF(3368Kb)  |  收藏  |  浏览/下载：41/18  |  提交时间：2024/06/07
Domain adaptation  low-rank constraint  noise corruption  optimal transport  
Deep Learning-based Moving Object Segmentation: Recent Progress and Research Prospects 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 335-369
作者:  Rui Jiang;  Ruixiang Zhu;  Hu Su;  Yinlin Li;  Yuan Xie;  Wei Zou
Adobe PDF(9061Kb)  |  收藏  |  浏览/下载：45/7  |  提交时间：2024/04/23
Moving object segmentation (MOS), change detection, background subtraction, deep learning (DL), video understanding  
Efficient Visual Recognition: A Survey on Recent Advances and Brain-inspired Methodologies 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 366-411
作者:  Yang Wu;  Ding-Heng Wang;  Xiao-Tong Lu;  Fan Yang;  Man Yao;  Wei-Sheng Dong;  Jian-Bo Shi;  Guo-Qi Li
Adobe PDF(6780Kb)  |  收藏  |  浏览/下载：47/8  |  提交时间：2024/04/23
Visual recognition  deep neural networks (DNNS)  brain-inspired methodologies  network compression  dynamic inference  survey  
SOTVerse: A User-Defined Task Space of Single Object Tracking 期刊论文
International Journal of Computer Vision, 2023, 卷号: 132, 期号: 3, 页码: 1-59
作者:  Shiyu, Hu;  Xin, Zhao;  Kaiqi Huang
Adobe PDF(53048Kb)  |  收藏  |  浏览/下载：82/7  |  提交时间：2024/01/22
Single object tracking  Experimental environment  Evaluation system  Performance analysis  
ScoreMix: A Scalable Augmentation Strategy for Training GANs With Limited Data 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 7, 页码: 8920-8935
作者:  Cao, Jie;  Luo, Mandi;  Yu, Junchi;  Yang, Ming-Hsuan;  He, Ran
Adobe PDF(1823Kb)  |  收藏  |  浏览/下载：129/9  |  提交时间：2023/11/17
Generative adversarial networks  image synthesis  data augmentation  few-shot image-to-image translation  
Magnetic particle imaging deblurring with dual contrastive learning and adversarial framework 期刊论文
COMPUTERS IN BIOLOGY AND MEDICINE, 2023, 卷号: 165, 页码: 11
作者:  Zhang, Jiaxin;  Wei, Zechen;  Wu, Xiangjun;  Shang, Yaxin;  Tian, Jie;  Hui, Hui
Adobe PDF(6341Kb)  |  收藏  |  浏览/下载：193/17  |  提交时间：2023/11/16
Magnetic particle imaging  Deblurring  Unpaired data  Contrastive learning  Adversarial framework  
Deep residual contextual and subpixel convolution network for automated neuronal structure segmentation in micro-connectomics 期刊论文
Computer Methods and Programs in Biomedicine, 2022, 卷号: 219, 页码: 106759
作者:  Xiao, Chi;  Hong, Bei;  Liu, Jing;  Tang, Yuanyan;  Xie, Qiwei;  Han, Hua
Adobe PDF(2731Kb)  |  收藏  |  浏览/下载：312/76  |  提交时间：2023/01/12
Deep learning  Neuronal structure segmentation  Subpixel convolution  Electron microscopy  Micro-Connectomics  
An Adaptive Padding Correlation Filter With Group Feature Fusion for Robust Visual Tracking 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 10, 页码: 1845-1860
作者:  Zihang Feng;  Liping Yan;  Yuanqing Xia;  Bo Xiao
Adobe PDF(10973Kb)  |  收藏  |  浏览/下载：224/60  |  提交时间：2022/09/08
Adaptive padding  context information  correlation filter (CF)  feature group fusion  robust visual tracking  
Meta Ordinal Regression Forest for Medical Image Classification With Ordinal Labels 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 7, 页码: 1233-1247
作者:  Yiming Lei;  Haiping Zhu;  Junping Zhang;  Hongming Shan
Adobe PDF(2123Kb)  |  收藏  |  浏览/下载：252/58  |  提交时间：2022/06/27
Convolutional neural network (CNNs)  medical image classification  meta-learning  ordinal regression  random forest  
BaMBNet: A Blur-Aware Multi-Branch Network for Dual-Pixel Defocus Deblurring 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 5, 页码: 878-892
作者:  Pengwei Liang;  Junjun Jiang;  Xianming Liu;  Jiayi Ma
Adobe PDF(12217Kb)  |  收藏  |  浏览/下载：169/24  |  提交时间：2022/04/24
Blur kernel  convolutional neural networks (CNNs)  defocus deblurring  dual-pixel (DP) data  meta-learning