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检索条件"机构=Key Laboratory of Technology in Geo-Spatial Information Processing and Application Systems"
527 条 记 录,以下是181-190 订阅
排序:
Human Machine Joint Decision Making in Distorted Surveillance Scenario  2
Human Machine Joint Decision Making in Distorted Surveillanc...
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2nd China Symposium on Cognitive Computing and Hybrid Intelligence, CCHI 2019
作者: Liu, Sen Zhao, Shuxin Pang, Yingxue Chen, Zhibo CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei China
There is plenty of human-machine joint decision-making scenarios in the real world applications, such as driving assistant, suspect identification, medical diagnosis, etc. Existing algorithms propose that machine shou... 详细信息
来源: 评论
M-LVC: Multiple Frames Prediction for Learned Video Compression
M-LVC: Multiple Frames Prediction for Learned Video Compress...
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Conference on Computer Vision and Pattern Recognition (CVPR)
作者: Jianping Lin Dong Liu Houqiang Li Feng Wu CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei China
We propose an end-to-end learned video compression scheme for low-latency scenarios. Previous methods are limited in using the previous one frame as reference. Our method introduces the usage of the previous multiple ... 详细信息
来源: 评论
Edge-Guided Panoramic Video Stitching with Limited Overlap
Edge-Guided Panoramic Video Stitching with Limited Overlap
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2019 IEEE International Conference on Signal, information and Data processing, ICSIDP 2019
作者: Xie, Chaoyu Chen, Xuejin CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei China
Video stitching remains a challenging problem in computer vision. In this paper, we propose a novel edge-guided method to stitch multiple videos that have small overlapped regions. Our algorithm consists of three step... 详细信息
来源: 评论
Semantically Scalable Image Coding With Compression of Feature Maps
Semantically Scalable Image Coding With Compression of Featu...
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IEEE International Conference on Image processing
作者: Ning Yan Dong Liu Houqiang Li Feng Wu CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei China
In this paper, we consider a novel image coding paradigm, termed semantically scalable coding. In the new paradigm, coded bitstream serves for multiple different semantic analysis tasks, and different tasks require di... 详细信息
来源: 评论
THE REMOTE SENSING IMAGE geoMETRICAL MODEL of BP NEURAL NETWORK
THE REMOTE SENSING IMAGE GEOMETRICAL MODEL of BP NEURAL NETW...
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2020 International Conference on geomatics in the Big Data Era, ICGBD 2020
作者: Yue, C.Y. Sun, T. Xie, J.F. Beijing Institute of Space Mechanics and Electricity Beijing China Beijing Key Laboratory of Advanced Optical Remote Sensing Technology Beijing China Key Laboratory of Technology in Geo-spatial Information Processing and Application System Aerospace Information Research Institute Chinese Academy of Sciences Beijing China Land Satellite Remote Sensing Application Center Ministry of Natural Resources of P. R. China Beijing China
Imagery geometry models (IGMs) of the high-resolution satellite images (HRSIs) are always of great interest in the photogrammetry and remote sensing community for the raising new kinds of sensors and imaging systems. ... 详细信息
来源: 评论
Mapping the permafrost stability on the Tibetan Plateau for 2005–2015
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Science China Earth Sciences 2021年 第1期64卷 62-79页
作者: Youhua RAN Xin LI Guodong CHENG Zhuotong NAN Jinxing CHE Yu SHENG Qingbai WU Huijun JIN Dongliang LUO Zhiguang TANG Xiaobo WU Northwest Institute of Eco-Environment and Resources Chinese Academy of SciencesLanzhou 730000China Institute of Tibetan Plateau Research Chinese Academy of SciencesBeijing 100101China CAS Center for Excellence in Tibetan Plateau Earth Sciences Beijing 100101China University of Chinese Academy of Sciences Beijing 100049China Institute of Urban Study Shanghai Normal UniversityShanghai 200234China Key Laboratory of Virtual Geographic Environment Ministry of EducationNanjing Normal UniversityNanjing 210023China Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing 210023China School of Science Nanchang Institute of TechnologyNanchang 330099China National-Local Joint Engineering Laboratory of Geo-Spatial Information Technology Hunan University of Science and TechnologyXiangtan 411201China
Data scarcity is a major obstacle for high-resolution mapping of permafrost on the Tibetan Plateau(TP).This study produces a new permafrost stability distribution map for the 2010 s(2005–2015)derived from the predict... 详细信息
来源: 评论
The Z-eigenpairs of orthogonally diagonalizable symmetric tensors
arXiv
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arXiv 2021年
作者: Wang, Lei Geng, Xiurui Aerospace Information Research Institute Chinese Academy of Sciences Beijing100094 China University of the Chinese Academy of Sciences Beijing100049 China Key Laboratory of Technology in Geo-Spatial Information Processing and Application System Chinese Academy of Science Beijing100190 China
In this paper, we focus on a special class of symmetric tensors, which can be orthogonally diagonalizable, and investigate their Z-eigenpairs problem. We show that the eigenpairs can be uniformly expressed using sever... 详细信息
来源: 评论
Article dgfnet: Dual gate fusion network for land cover classification in very high-resolution images
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Remote Sensing 2021年 第18期13卷
作者: Guo, Yongjie Wang, Feng Xiang, Yuming You, Hongjian The Key Laboratory of Technology in Geo-Spatial Information Processing and Application System Chinese Academy of Sciences Beijing100190 China Aerospace Information Research Institute Chinese Academy of Sciences Beijing100094 China School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing100049 China
Deep convolutional neural networks (DCNNs) have been used to achieve state-of-the-art performance on land cover classification thanks to their outstanding nonlinear feature extraction abil-ity. DCNNs are usually desig... 详细信息
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FAN: Frequency aggregation network for real image super-resolution
arXiv
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arXiv 2020年
作者: Pang, Yingxue Li, Xin Jin, Xin Wu, Yaojun Liu, Jianzhao Liu, Sen Chen, Zhibo CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
Single image super-resolution (SISR) aims to recover the high-resolution (HR) image from its low-resolution (LR) input image. With the development of deep learning, SISR has achieved great progress. However, It is sti... 详细信息
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Deep local and global spatiotemporal feature aggregation for blind video quality assessment
arXiv
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arXiv 2020年
作者: Zhou, Wei Chen, Zhibo CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
In recent years, deep learning has achieved promising success for multimedia quality assessment, especially for image quality assessment (IQA). However, since there exist more complex temporal characteristics in video... 详细信息
来源: 评论