Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Yilong Lv"'
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 2, Pp 2387-2400 (2023)
Abstract There are inconsistent tasks and insufficient training in the SAR ship detection model, which severely limit the detection performance of the model. Therefore, we propose a twin branch network and design two loss functions: regression revers
Externí odkaz:
https://doaj.org/article/ff4691a8a9904f6d8d080d69c541650f
Publikováno v:
Canadian Journal of Remote Sensing, Vol 48, Iss 6, Pp 764-778 (2022)
Deep learning has been widely applied to ship detection in Synthetic Aperture Radar (SAR) images. Unlike optical images, the current object detection methods have the problem of weak feature representation due to the low object resolution in SAR imag
Externí odkaz:
https://doaj.org/article/55c6040f9b7c45498b3e93343dfa1036
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 6752-6765 (2022)
With the wide application of synthetic aperture radar in maritime surveillance, a ship detection method has been rapidly developed. However, there is still a key problem common in most methods, i.e., how to select positive and negative samples. The m
Externí odkaz:
https://doaj.org/article/6e602f3399d44ef4a87355a21311690d
Autor:
Shunmin Zhu, Jianyuan Lu, Biao Lyu, Tian Pan, Chenhao Jia, Xin Cheng, Daxiang Kang, Yilong Lv, Fukun Yang, Xiaobo Xue, Zhiliang Wang, Jiahai Yang
Publikováno v:
Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies.
Publikováno v:
Pattern Recognition and Computer Vision ISBN: 9783031189159
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a8194bf277ebf30c4ff2f49328e17f7
https://doi.org/10.1007/978-3-031-18916-6_25
https://doi.org/10.1007/978-3-031-18916-6_25
Autor:
Nianbing Yu, Shunmin Zhu, Jian Guo, Yilong Lv, Tian Pan, Mingxu Xie, Yisong Qiao, Enge Song, Jinkui Mao, Xiaoyu Zhang, Liang Xu, Jun He, Jianyuan Lu, Chenhao Jia
Publikováno v:
SIGCOMM Posters and Demos
Virtual private clouds provide sharing resources to a massive number of tenants for economics of scale. In such clouds, off-the-shelf x86 boxes are widely deployed as network intermediate nodes. However, due to rapid growth of cloud traffic and signi
Publikováno v:
HPCC/DSS/SmartCity
Virtualized Network I/O (VNIO) is an enabling technology in cloud computing environment as it provides virtual machines (VMs) the network connectivity. Among existing VNIO implementations, vHost-User para-virtualized solution has been commonly adopte
Autor:
Xing Li, Ye Yang, Guangxing Zhang, Haiyang Jiang, Xin Wang, Yilong Lv, Serge Fdida, Gaogang Xie
Publikováno v:
Computer Networks. 201:108577
Virtualized Network I/O (VNIO) plays a key role in providing the network connectivity to cloud services, as it delivers packets for Virtual Machines (VMs). Existing para-virtualized solutions accelerate the virtual Switch (vSwitch) data transfer via
Autor:
Xing Li, Haiyang Jiang, Yilong Lv, Yulei Wu, Gaogang Xie, Ye Yang, Chunjing Han, Serge Fdida, Bowen Yang
Publikováno v:
Journal of Systems Architecture. 116:102148
Cyber–Physical–Social–System (CPSS) relies on cloud and edge computing for service deployment and acceleration. As an enabling technology of CPSS, network virtualization allows different services to be deployed on a single physical server and p