中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共12条，第1-10条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
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：159/42  |  提交时间：2021/02/22
Image super-resolution  convolutional neural network  high-resolution image  low-resolution image  deep learning.  
Effective Crowd Anomaly Detection Through Spatio-temporal Texture Analysis 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 27-39
作者:  Yu Hao;  Zhi-Jie Xu;  Ying Liu;  Jing Wang;  Jiu-Lun Fan
浏览  |  Adobe PDF(1521Kb)  |  收藏  |  浏览/下载：236/67  |  提交时间：2021/02/22
Crowd behavior  spatial-temporal texture  gray level co-occurrence matrix  information entropy.  
A Fast Surface Defect Detection Method Based on Background Reconstruction 期刊论文
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, 2019, 卷号: 21, 期号: 3, 页码: 363-375
作者:  Lv, Chengkan;  Zhang, Zhengtao;  Shen, Fei;  Zhang, Feng;  Su, Hu
Adobe PDF(2471Kb)  |  收藏  |  浏览/下载：382/60  |  提交时间：2020/03/30
Defect detection  Unsupervised learning  Background reconstruction  
A Novel and Efficient CVAE-GAN-Based Approach With Informative Manifold for Semi-Supervised Anomaly Detection 期刊论文
IEEE ACCESS, 2019, 卷号: 2019, 期号: 7, 页码: 88903-88916
作者:  Bian, Jiang;  Hui, Xiaolong;  Sun, Shiying;  Zhao, Xiaoguang;  Tan, Min
浏览  |  Adobe PDF(31078Kb)  |  收藏  |  浏览/下载：344/47  |  提交时间：2019/12/16
Semi-supervised anomaly detection  conditional variational auto-encoder  generative adversarial networks  informative manifold  structural similarity loss  
Deep Multi-Modality Adversarial Networks for Unsupervised Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 9, 页码: 2419-2431
作者:  Ma, Xinhong;  Zhang, Tianzhu;  Xu, Changsheng
Adobe PDF(2142Kb)  |  收藏  |  浏览/下载：383/49  |  提交时间：2019/12/16
Unsupervised domain adaptation  triplet loss  stacked attention  multi-modality  social event recognition  
Learning from adversarial medical images for X-ray breast mass segmentation 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2019, 卷号: 180, 期号: 2019, 页码: 13
作者:  Shen, Tianyu;  Gou, Chao;  Wang, Fei-Yue;  He, Zilong;  Chen, Weiguo
Adobe PDF(4491Kb)  |  收藏  |  浏览/下载：383/50  |  提交时间：2019/12/16
Medical image synthesis  Generative adversarial network  X-ray breast mass  Lesion segmentation  
SMART: Joint Sampling and Regression for Visual Tracking 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 8, 页码: 3923-3935
作者:  Gao, Junyu;  Zhang, Tianzhu;  Xu, Changsheng
浏览  |  Adobe PDF(9244Kb)  |  收藏  |  浏览/下载：372/49  |  提交时间：2019/09/30
Visual tracking  deep learning  sampling and regression  
Improved generative adversarial networks using the total gradient loss for the resolution enhancement of fluorescence images 期刊论文
BIOMEDICAL OPTICS EXPRESS, 2019, 卷号: 10, 期号: 9, 页码: 4742-4756
作者:  Zhang, Chong;  Wang, Kun;  An, Yu;  He, Kunshan;  Tong, Tong;  Tian, Jie
浏览  |  Adobe PDF(4570Kb)  |  收藏  |  浏览/下载：292/86  |  提交时间：2019/09/26
Un-supervised and semi-supervised hand segmentation in egocentric images with noisy label learning 期刊论文
NEUROCOMPUTING, 2019, 卷号: 334, 期号: 2019, 页码: 11-24
作者:  Li, Yinlin;  Jia, Lihao;  Wang, Zidong;  Qian, Yang;  Qiao, Hong
Adobe PDF(4423Kb)  |  收藏  |  浏览/下载：518/100  |  提交时间：2019/07/12
Hand segmentation  Un-supervised  Semi-supervised  Deep convolutional neural network  Noisy label  
Reconstruction of Fluorescence Molecular Tomography via a Fused LASSO Method Based on Group Sparsity Prior 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2019, 卷号: 66, 期号: 5, 页码: 1361-1371
作者:  Jiang, Shixin;  Liu, Jie;  Zhang, Guanglei;  An, Yu;  Meng, Hui;  Gao, Yuan;  Wang, Kun;  Tian, Jie
浏览  |  Adobe PDF(5641Kb)  |  收藏  |  浏览/下载：560/129  |  提交时间：2019/07/11
Fluorescence molecular tomography  image reconstruction  fused LASSO method  group sparsity