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Siamese Network Using Adaptive Background Superposition Initialization for Real-Time Object Tracking 期刊论文
Ieee Access, 2019, 卷号: 7, 页码: 119454-119464
作者:  J.N.Zhu;  T.Chen;  J.T.Cao
浏览  |  Adobe PDF(2165Kb)  |  收藏  |  浏览/下载：155/50  |  提交时间：2020/08/24
Adaptive background superposition initialization,channel attention,module,object tracking,Siamese network,Computer Science,Engineering,Telecommunications  
Inversion Restoring Algorithm for Whiskbroom Scanning Images Synthesized with Deep Convolutional Neural Network 期刊论文
Guangxue Xuebao/Acta Optica Sinica, 2019, 卷号: 39, 期号: 12
作者:  C.Xu;  G.Jin;  X.Yang;  T.Xu;  L.Chang
浏览  |  Adobe PDF(12998Kb)  |  收藏  |  浏览/下载：182/46  |  提交时间：2020/08/24
Image enhancement,Cameras,Convolution,Deep neural networks,Deterioration,Distortion (waves),Geometry,Image quality,Image reconstruction,Network architecture,Neural networks,Pixels,Quality control,Remote sensing,Restoration,Scanning,Space optics  
Object-independent image-based wavefront sensing approach using phase diversity images and deep learning 期刊论文
Optics Express, 2019, 卷号: 27, 期号: 18, 页码: 26102-26119
作者:  Q.Xin;  G.H.Ju;  C.Y.Zhang;  S.Y.Xu
浏览  |  Adobe PDF(2894Kb)  |  收藏  |  浏览/下载：140/44  |  提交时间：2020/08/24
retrieval,algorithm,optics  
Underwater Object Recognition Based on Deep Encoding-Decoding Network 期刊论文
Journal of Ocean University of China, 2019, 卷号: 18, 期号: 2, 页码: 376-382
作者:  X.H.Wang;  J.H.Ouyang;  D.Y.Li;  G.Zhang
浏览  |  Adobe PDF(464Kb)  |  收藏  |  浏览/下载：147/40  |  提交时间：2020/08/24
deep learning,transfer learning,encoding-decoding,underwater object,object recognition,Oceanography  
Background Subtraction With Real-Time Semantic Segmentation 期刊论文
Ieee Access, 2019, 卷号: 7, 页码: 153869-153884
作者:  D.D.Zeng;  X.Chen;  M.Zhu;  M.Goesele;  A.Kuijper
Adobe PDF(6097Kb)  |  收藏  |  浏览/下载：136/40  |  提交时间：2020/08/24
Background subtraction,foreground object detection,semantic,segmentation,video surveillance,density-estimation,Computer Science,Engineering,Telecommunications  
Combining background subtraction algorithms with convolutional neural network 期刊论文
Journal of Electronic Imaging, 2019, 卷号: 28, 期号: 1, 页码: 6
作者:  D.D.Zeng;  M.Zhu;  A.Kuijper
Adobe PDF(1748Kb)  |  收藏  |  浏览/下载：145/43  |  提交时间：2020/08/24
foreground object detection,convolutional neural network,CDnet 2014,dataset,video surveillance,object detection,Engineering,Optics,Imaging Science & Photographic Technology  
MCF3D: Multi-Stage Complementary Fusion for Multi-sensor 3D Object Detection 期刊论文
Ieee Access, 2019, 卷号: 7, 页码: 90801-90814
作者:  J.R.Wang;  M.Zhu;  D.Y.Sun;  B.Wang;  W.Gao;  H.Wei
Adobe PDF(6364Kb)  |  收藏  |  浏览/下载：126/17  |  提交时间：2020/08/24
3D object detection,multi-sensor fusion,attention mechanism,autonomous driving,cloud,Computer Science,Engineering,Telecommunications  
Research on Scene Classification Method of High-Resolution Remote Sensing Images Based on RFPNet 期刊论文
Applied Sciences-Basel, 2019, 卷号: 9, 期号: 10, 页码: 26
作者:  X.Zhang;  Y.C.Wang;  N.Zhang;  D.D.Xu;  B.Chen
Adobe PDF(11958Kb)  |  收藏  |  浏览/下载：136/31  |  提交时间：2020/08/24
convolutional neural network,ResNet,semantic information,remote,sensing images,scene classification,TensorFlow,satellite images,deep,representation,network,features,scale,Chemistry,Engineering,Materials Science,Physics  
Scene classification of high-resolution remote sensing images based on IMFNet 期刊论文
Journal of Applied Remote Sensing, 2019, 卷号: 13, 期号: 4, 页码: 21
作者:  X.Zhang;  Y.C.Wang;  N.Zhang;  D.D.Xu;  B.Chen;  G.L.Ben;  X.Wang
Adobe PDF(2648Kb)  |  收藏  |  浏览/下载：162/58  |  提交时间：2020/08/24
image processing,remote sensing,artificial intelligence,pattern,recognition,scene classification,convolutional neural-networks,deep,Environmental Sciences & Ecology,Remote Sensing,Imaging Science &,Photographic Technology  
Super-resolution imaging for infrared microscanning optical system 期刊论文
Optics Express, 2019, 卷号: 27, 期号: 5, 页码: 7719-7737
作者:  X.F.Zhang;  W.Huang;  M.F.Xu;  S.Q.Jia;  X.R.Xu;  F.B.Li;  Y.D.Zheng
Adobe PDF(5396Kb)  |  收藏  |  浏览/下载：116/49  |  提交时间：2020/08/24
Optical systems,Frequency domain analysis,Image denoising,Image reconstruction,Optical resolving power,Pixels,Scanning,Set theory,Textures,Thermography (imaging)