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CASIA OpenIR
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SASOD: Saliency-Aware Ship Object Detection in High-Resolution Optical Images 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 15
作者:  Ren, Zhida;  Tang, Yongqiang;  Yang, Yang;  Zhang, Wensheng
Adobe PDF(5807Kb)  |  收藏  |  浏览/下载：4/1  |  提交时间：2024/07/03
ship detection  Saliency detection  high-resolution optical images  remote sensing  Deep learning  Feature extraction  Marine vehicles  Object detection  Remote sensing  Optical sensors  Optical imaging  saliency detection  
High-speed rail pole number recognition through deep representation and temporal redundancy 期刊论文
NEUROCOMPUTING, 2020, 卷号: 415, 页码: 201-214
作者:  Yang, Yang;  Zhang, Wensheng;  He, Zewen;  Li, Ding
Adobe PDF(2751Kb)  |  收藏  |  浏览/下载：319/59  |  提交时间：2021/01/07
Region-based convolutional neural network  Context information  Object detection  Number recognition  Pole number  High-speed rail  
Locator slope calculation via deep representations based on monocular vision 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2019, 卷号: 31, 期号: 7, 页码: 2781-2794
作者:  Yang, Yang;  Zhang, Wensheng;  He, Zewen;  Chen, Dongjie
Adobe PDF(4398Kb)  |  收藏  |  浏览/下载：276/52  |  提交时间：2019/12/16
Slope calculation  Locator detection  Convolution neural networks  Monocular vision  
Locator slope calculation via deep representation based on monocular vision 期刊论文
Neural Computing and Applications, 2017, 期号: 10, 页码: 1-12
作者:  Yang Y(杨阳);  Zhang WS(张文生);  He ZW(何泽文);  Chen DJ(陈东杰);  Zhang WS(张文生)
浏览  |  Adobe PDF(4630Kb)  |  收藏  |  浏览/下载：470/113  |  提交时间：2017/12/28
Slope Calculation  Locator Detection  Convolution Neural Networks  Monocular Vision  
Image automatic annotation via multi-view deep representation 期刊论文
Journal of Visual Communication and Image Representation, 2015, 卷号: 2015, 期号: 33, 页码: 368-377
作者:  Yang Y(杨阳);  Zhang Wensheng（张文生）;  Xie Yuan;  wensheng zhang
浏览  |  Adobe PDF(1988Kb)  |  收藏  |  浏览/下载：442/170  |  提交时间：2016/10/13
Image Annotation  Stacked Auto-encoder  Imbalance Learning  Multi-view Learning  Image Features  Semantic Gap  Deep Learning  Multi-labeling