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...
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...
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...
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...
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...
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 ...
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...
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...
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...
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 ...