SEMANTIC

作品数:704被引量:970H指数:12
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相关领域:自动化与计算机技术更多>>
相关作者:于戈王祥瑞陈明崔立真王海洋更多>>
相关机构:清华大学华中师范大学上海交通大学北京航空航天大学更多>>
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相关基金:国家自然科学基金国家重点基础研究发展计划国家高技术研究发展计划国家社会科学基金更多>>
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Joint communication and computation design for secure integrated sensing and semantic communication system
《Science China(Information Sciences)》2025年第3期350-366,共17页Jianxin DAI Hui FAN Zhouxiang ZHAO Yongjun XU Zhaohui YANG Xu GAN Zhaoyang ZHANG 
supported in part by National Mobile Communications Research Laboratory,Southeast University(Grant No.2023D03);National Key R&D Program of China(Grant No.2023YFB2904804);National Natural Science Foundation of China(Grant Nos.62394292,62394290)。
As a new communication paradigm,semantic communication(SC)differs from conventional communication based on bit transmission by transmitting semantic information,which demonstrates enormous potential in improving commu...
关键词:integrated sensing and semantic communication(ISsC) resource allocation beamforming design security robust optimization 
RE-SEGNN:recurrent semantic evidence-aware graph neural network for temporal knowledge graph forecasting
《Science China(Information Sciences)》2025年第2期99-115,共17页Wenyu CAI Mengfan LI Xuanhua SHI Yuanxin FAN Quntao ZHU Hai JIN 
supported in part by National Key R&D Program of China(Grant No.2020AAA0108501);Major Program(JD)of Hubei Province(Grant No.2023BAA024)。
Temporal knowledge graph(TKG)reasoning,has seen widespread use for modeling real-world events,particularly in extrapolation settings.Nevertheless,most previous studies are embedded models,which require both entity and...
关键词:knowledge graph reasoning temporal knowledge graph Hawkes process semantic evidence 
BEV-Locator:an end-to-end visual semantic localization network using multi-view images
《Science China(Information Sciences)》2025年第2期130-146,共17页Zhihuang ZHANG Meng XU Wenqiang ZHOU Tao PENG Liang LI Stefan POSLAD 
supported by Beijing Higher Education Society under the 2024 General Project Scheme(Grant No.MS2024128);funding from the Ningbo Philosophy and Social Science Planning Project,as part of the“Ningbo Development Blue Book 2025”Initiative(Grant No.GL24-16)。
Accurate localization ability is fundamental in autonomous driving.Traditional visual localization frameworks approach the semantic map-matching problem with geometric models,which rely on complex parameter tuning and...
关键词:visual localization semantic map bird-eye-view TRANSFORMER pose estimation 
Relative difficulty distillation for semantic segmentation
《Science China(Information Sciences)》2024年第9期122-141,共20页Dong LIANG Yue SUN Yun DU Songcan CHEN Sheng-Jun HUANG 
partly supported by National Natural Science Foundation of China(Grant Nos.62272229,62076124,62222605);National Key R&D Program of China(Grant No.2020AAA0107000);Natural Science Foundation of Jiangsu Province(Grant Nos.BK20222012,BK20211517);Shenzhen Science and Technology Program(Grant No.JCYJ20230807142001004)。
Current knowledge distillation(KD)methods primarily focus on transferring various structured knowledge and designing corresponding optimization goals to encourage the student network to imitate the output of the teach...
关键词:knowledge distillation semantic segmentation relative difficulty sample weighting prediction discrepancy 
Retrieval-and-alignment based large-scale indoor point cloud semantic segmentation
《Science China(Information Sciences)》2024年第4期160-176,共17页Zongyi XU Xiaoshui HUANG Bo YUAN Yangfu WANG Qianni ZHANG Weisheng LI Xinbo GAO 
supported by National Natural Science Foundation of China(Grant Nos.62206033,62221005,U22A2096);Natural Science Foundation of Chongqing(Grant Nos.cstc2020jcyj-msxmX0855,cstc2021ycjh-bgzxm0339);Chongqing Postdoctoral Research Special Funding Project(Grant No.2021XM2044)。
Current methods for point cloud semantic segmentation depend on the extraction of descriptive features.However,unlike images,point clouds are irregular and often lack texture information,making it demanding to extract...
关键词:point cloud semantic segmentation large-scale indoor point clouds point cloud alignment overlap estimation label transfer 
A meaningful learning method for zero-shot semantic segmentation
《Science China(Information Sciences)》2023年第11期31-49,共19页Xianglong LIU Shihao BAI Shan AN Shuo WANG Wei LIU Xiaowei ZHAO Yuqing MA 
supported by National Natural Science Foundation of China(Grant Nos.62206010,62022009)。
Zero-shot semantic segmentation,which is developed to segment unseen categories,has attracted increasing attention due to its strong practicability.Previous approaches usually applied semantic-visual mapping based on ...
关键词:meaningful learning zero-shot learning semantic segmentation conjugate conceptual correlation fast-slow conceptual modulator 
Knowledge-enhanced semantic communication system with OFDM transmissions被引量:4
《Science China(Information Sciences)》2023年第7期262-278,共17页Xiaodong XU Huachao XIONG Yining WANG Yue CHE Shujun HAN Bizhu WANG Ping ZHANG 
supported in part by Key R&D Program of Shandong Province(Grant No.2020CXGC010109);National Natural Science Foundation of China(Grant No.62201079);Fundamental Research Funds for the Central Universities(Grant No.2022RC15);Major Key Project of PCL。
As a promising technology to enable effective multi-modal transmission over wireless channels,semantic communication has attracted a lot of attention from academics and industries.Different from Shannon’s information...
关键词:semantic communication knowledge graph OFDM TRANSFORMER deep learning 
Augmented FCN:rethinking context modeling for semantic segmentation被引量:1
《Science China(Information Sciences)》2023年第4期189-207,共19页Dong ZHANG Liyan ZHANG Jinhui TANG 
supported by National Key Research and Development Program of China(Grant No.2018AAA0102002);National Natural Science Foundation of China(Grant Nos.61925204,62172212)。
The effectiveness of modeling contextual information has been empirically shown in numerous computer vision tasks.In this paper,we propose a simple yet efficient augmented fully convolutional network(AugFCN)by aggrega...
关键词:semantic segmentation context modeling long-range dependencies attention mechanism 
MFVNet:a deep adaptive fusion network with multiple field-of-views for remote sensing image semantic segmentation被引量:7
《Science China(Information Sciences)》2023年第4期89-102,共14页Yansheng LI Wei CHEN Xin HUANG Zhi GAO Siwei LI Tao HE Yongjun ZHANG 
supported in part by State Key Program of the National Natural Science Foundation of China(Grant No.42030102);Foundation for Innovative Research Groups of the Natural Science Foundation of Hubei Province(Grant No.2020CFA003);National Natural Science Foundation of China(Grant No.41971284);Fundamental Research Funds for the Central Universities(Grant No.2042022kf1201);Special Fund of Hubei Luojia Laboratory。
In recent years,the remote sensing image(RSI)semantic segmentation attracts increasing research interest due to its wide application.RSIs are difficult to be processed holistically on current GPU cards on account of t...
关键词:semantic segmentation remote sensing image(RSI) field-of-view(FOV) adaptive fusion convolutional neural network 
Robust autonomous landing of UAVs in non-cooperative environments based on comprehensive terrain understanding
《Science China(Information Sciences)》2022年第11期159-173,共15页Lyujie CHEN Yao XIAO Xiaming YUAN Yiding ZHANG Jihong ZHU 
supported by National Natural Science Foundation of China(Grant Nos.61903216,62073185)。
Autonomous landing in non-cooperative environments is a key step toward full autonomy of unmanned aerial vehicles(UAVs).Existing studies have addressed this problem by finding a flat area of the ground as the landing ...
关键词:UAV autonomous landing terrain understanding depth completion semantic segmentation 
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