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检索条件"机构=Key Laboratory of Technology in Geospatial Information Processing and Application System"
551 条 记 录,以下是141-150 订阅
Deep Multi-Scale Features Learning for Distorted Image Quality Assessment
Deep Multi-Scale Features Learning for Distorted Image Quali...
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IEEE International Symposium on Circuits and systems
作者: Wei Zhou Zhibo Chen CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei China
Image quality assessment (IQA) aims to estimate human perception based image visual quality. Although existing deep neural networks (DNNs) have shown significant effectiveness for tackling the IQA problem, it still ne... 详细信息
来源: 评论
A Novel Gradient Descent Least Squares (GDLS) Algorithm for Efficient SMV Gridless Line Spectrum Estimation with applications in Tomographic SAR Imaging
arXiv
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arXiv 2022年
作者: Shi, Ruizhe Zhang, Zhe Qiu, Xiaolan Ding, Chibiao School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing100190 China Suzhou Aerospace Information Research Institute Suzhou Key Laboratory of Intelligent Aerospace Big Data Application Technology Jiangsu Suzhou215123 China CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System Beijing100190 China
This paper presents a novel efficient method for gridless line spectrum estimation problem with single snapshot, namely the gradient descent least squares (GDLS) method. Conventional single snapshot (a.k.a. single mea... 详细信息
来源: 评论
AutoDerain: Memory-efficient Neural Architecture Search for Image Deraining
AutoDerain: Memory-efficient Neural Architecture Search for ...
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IEEE Visual Communications and Image processing (VCIP)
作者: Jun Fu Chen Hou Zhibo Chen CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei China
Learning-based image deraining methods have achieved remarkable success in the past few decades. Currently, most deraining architectures are developed by human experts, which is a laborious and error-prone process. In... 详细信息
来源: 评论
Efficient Integer-Arithmetic-Only Convolutional Networks with Bounded ReLU
Efficient Integer-Arithmetic-Only Convolutional Networks wit...
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IEEE International Symposium on Circuits and systems (ISCAS)
作者: Hengrui Zhao Dong Liu Houqiang Li CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei China
To facilitate large-scale deployment of convolutional networks, integer-arithmetic-only inference has been demonstrated effective, which not only reduces computational cost but also ensures cross-platform consistency.... 详细信息
来源: 评论
360HRL: Hierarchical Reinforcement Learning Based Rate Adaptation for 360-Degree Video Streaming
360HRL: Hierarchical Reinforcement Learning Based Rate Adapt...
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IEEE Visual Communications and Image processing (VCIP)
作者: Jun Fu Chen Hou Zhibo Chen CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei China
Recently, reinforced adaptive bitrate (ABR) algorithms have achieved remarkable success in tile-based 360-degree video streaming. However, they heavily rely on accurate viewport prediction. To alleviate this issue, we... 详细信息
来源: 评论
Analyzing Time Complexity of Practical Learned Image Compression Models
Analyzing Time Complexity of Practical Learned Image Compres...
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IEEE Visual Communications and Image processing (VCIP)
作者: Xiaohan Pan Zongyu Guo Zhibo Chen CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei China
We have witnessed the rapid development of learned image compression (LIC). The latest LIC models have outperformed almost all traditional image compression standards in terms of rate-distortion (RD) performance. Howe... 详细信息
来源: 评论
Spatiotemporal analysis of COVID-19 risk in Guangdong Province based on population migration
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Journal of Geographical Sciences 2020年 第12期30卷 1985-2001页
作者: YE Yuyao WANG Changjian ZHANG Hong'ou YANG Ji LIU Zhengqian WU Kangmin DENG Yingbin Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System Guangdong Open Laboratory of Geospatial Information Technology and ApplicationGuangzhou Institute of GeographyGuangdong Academy of SciencesGuangzhou 510070China Southern Marine Science and Engineering Guangdong Laboratory Guangzhou 511458China School of Architecture and Urban Planning Guangdong University of TechnologyGuangzhou 510090China
Population migration,especially population inflow from epidemic areas,is a key source of the risk related to the coronavirus disease 2019(COVID-19)*** paper selects Guangdong Province,China,for a case *** utilizes big... 详细信息
来源: 评论
Domain-class correlation decomposition for generalizable person re-identification
arXiv
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arXiv 2021年
作者: Yang, Kaiwen Tian, Xinmei CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
Domain generalization in person re-identification is a highly important meaningful and practical task in which a model trained with data from several source domains is expected to generalize well to unseen target doma... 详细信息
来源: 评论
aiWave: Volumetric Image Compression with 3-D Trained Affine Wavelet-like Transform
arXiv
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arXiv 2022年
作者: Xue, Dongmei Ma, Haichuan Li, Li Liu, Dong Xiong, Zhiwei The CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China The Institute of Artificial Intelligence Hefei Comprehensive National Science Center Hefei230088 China
Volumetric image compression has become an urgent task to effectively transmit and store images produced in biological research and clinical practice. At present, the most commonly used volumetric image compression me... 详细信息
来源: 评论
Attribute Artifacts Removal for Geometry-based Point Cloud Compression
arXiv
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arXiv 2021年
作者: Sheng, Xihua Li, Li Liu, Dong Xiong, Zhiwei CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
Geometry-based point cloud compression (G-PCC) can achieve remarkable compression efficiency for point clouds. However, it still leads to serious attribute compression artifacts, especially under low bitrate scenarios... 详细信息
来源: 评论