中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共5条，第1-5条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
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：336/47  |  提交时间：2019/12/16
Semi-supervised anomaly detection  conditional variational auto-encoder  generative adversarial networks  informative manifold  structural similarity loss  
Automatically Extract Semi-Transparent Motion-Blurred Hand From a Single Image 期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2019, 卷号: 26, 期号: 11, 页码: 1598-1602
作者:  Zhao, Xiaomei;  Wu, Yihong
浏览  |  Adobe PDF(1662Kb)  |  收藏  |  浏览/下载：346/73  |  提交时间：2019/12/16
Motion blurred hand  semi-transparent  alpha matte prediction  foreground prediction  automatically  
A monocular vision-based perception approach for unmanned aerial vehicle close proximity transmission tower inspection 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2019, 卷号: 16, 期号: 1, 页码: 20
作者:  Bian, Jiang;  Hui, Xiaolong;  Zhao, Xiaoguang;  Tan, Min
浏览  |  Adobe PDF(1859Kb)  |  收藏  |  浏览/下载：453/99  |  提交时间：2019/07/12
Close proximity inspection of transmission tower  tower localization  UAV self-positioning  monocular vision  
Vision-Based Target-Following Guider for Mobile Robot 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 卷号: 66, 期号: 12, 页码: 9360-9371
作者:  Zhang, Mingyi;  Liu, Xilong;  Xu, De;  Cao, Zhiqiang;  Yu, Junzhi
浏览  |  Adobe PDF(759Kb)  |  收藏  |  浏览/下载：530/156  |  提交时间：2019/06/21
Mobile robot  target following  target redetection  visual servo  
Face Detection With Different Scales Based on Faster R-CNN 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 11, 页码: 4017-4028
作者:  Wu, Wenqi;  Yin, Yingjie;  Wang, Xingang;  Xu, De
浏览  |  Adobe PDF(2762Kb)  |  收藏  |  浏览/下载：492/155  |  提交时间：2018/10/02
Deep convolutional neural network (DCNN)  deep learning  face detection  Faster R-CNN