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CIOMP OpenIR

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Semi-Empirical Soil Organic Matter Retrieval Model With Spectral Reflectance 期刊论文
Ieee Access, 2019, 卷号: 7, 页码: 134164-134172
作者:  J.Yuan;  C.H.Hu;  C.X.Yan;  Z.Z.Li;  S.B.Chen;  S.R.Wang
浏览  |  Adobe PDF(805Kb)  |  收藏  |  浏览/下载：374/80  |  提交时间：2020/08/24
Soil organic matter retrieval,reflectance,semi-empirical model,KM,machine learning-methods,moisture retrieval,calibration,prediction,carbon,interpolation,spectroscopy,texture,Computer Science,Engineering,Telecommunications  
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：268/64  |  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
浏览  |  Adobe PDF(6097Kb)  |  收藏  |  浏览/下载：220/63  |  提交时间：2020/08/24
Background subtraction,foreground object detection,semantic,segmentation,video surveillance,density-estimation,Computer Science,Engineering,Telecommunications  
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
浏览  |  Adobe PDF(6364Kb)  |  收藏  |  浏览/下载：208/42  |  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
浏览  |  Adobe PDF(11958Kb)  |  收藏  |  浏览/下载：296/42  |  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  
Enhanced Multiple-Object Tracking Using Delay Processing and Binary-Channel Verification 期刊论文
Applied Sciences-Basel, 2019, 卷号: 9, 期号: 22, 页码: 19
作者:  M.Y.Li;  X.He;  Z.H.Wei;  J.Wang;  Z.Y.Mu;  A.Kuijper
浏览  |  Adobe PDF(4057Kb)  |  收藏  |  浏览/下载：353/112  |  提交时间：2020/08/24
multiple object tracking,identity consistency,single object tracking,association,Chemistry,Engineering,Materials Science,Physics  
Object tracking framework with Siamese network and re-detection mechanism 期刊论文
Eurasip Journal on Wireless Communications and Networking, 2019, 卷号: 2019, 期号: 1, 页码: 14
作者:  D.Q.Li;  Y.Yu;  X.L.Chen
浏览  |  Adobe PDF(2372Kb)  |  收藏  |  浏览/下载：213/61  |  提交时间：2020/08/24
Object tracking,Siamese network,Re-detection mechanism,Generative,model,High-confidence update,visual tracking,Engineering,Telecommunications  
Hard negative generation for identity-disentangled facial expression recognition 期刊论文
Pattern Recognition, 2019, 卷号: 88, 页码: 1-12
作者:  X.F.Liu;  B.Kumar;  P.Jia;  J.You
浏览  |  Adobe PDF(3296Kb)  |  收藏  |  浏览/下载：393/91  |  提交时间：2020/08/24
Hard negative generation,Adaptive metric learning,Face normalization,Facial expression recognition,Computer Science,Engineering  
Neural network model combined with pupil recovery for Fourier ptychographic microscopy 期刊论文
Optics Express, 2019, 卷号: 27, 期号: 17, 页码: 24161-24174
作者:  M.L.Sun;  X.Chen;  Y.Q.Zhu;  D.Y.Li;  Q.Q.Mu;  L.Xuan
浏览  |  Adobe PDF(5318Kb)  |  收藏  |  浏览/下载：263/85  |  提交时间：2020/08/24
misalignment correction,wide-field,illumination,Optics  
Vehicle Detection in Aerial Images Using a Fast Oriented Region Search and the Vector of Locally Aggregated Descriptors 期刊论文
Sensors, 2019, 卷号: 19, 期号: 15, 页码: 24
作者:  C.Y.Liu;  Y.L.Ding;  M.Zhu;  J.H.Xiu;  M.Y.Li;  Q.H.Li
浏览  |  Adobe PDF(2830Kb)  |  收藏  |  浏览/下载：183/72  |  提交时间：2020/08/24
vehicle detection,aerial images,object proposals,vector of locally,aggregated descriptors (VLAD),resolution satellite,car detection,extraction,Chemistry,Engineering,Instruments & Instrumentation