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pro vyhledávání: '"Lu, Yulei"'
A thriving trend for domain adaptive segmentation endeavors to generate the high-quality pseudo labels for target domain and retrain the segmentor on them. Under this self-training paradigm, some competitive methods have sought to the latent-space in
Externí odkaz:
http://arxiv.org/abs/2204.07730
The expensive annotation cost is notoriously known as the main constraint for the development of the point cloud semantic segmentation technique. Active learning methods endeavor to reduce such cost by selecting and labeling only a subset of the poin
Externí odkaz:
http://arxiv.org/abs/2202.12588
Publikováno v:
Journal of Physics: Conference Series; 2024, Vol. 2865 Issue 1, p1-9, 9p
Akademický článek
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Autor:
Wei, Jia, Tang, Daxing, Lu, Chengjie, Yang, Jin, Lu, Yulei, Wang, Yidong, Jia, Liangliang, Wang, Jianfang, Ru, Wei, Lu, Yi, Cai, Zhejun, Shu, Qiang
Publikováno v:
In Mucosal Immunology July 2019 12(4):888-896
Autor:
Wang, Xiaojing, Yan, Weiming, Lu, Yulei, Chen, Tao, Sun, Ying, Qin, Xiaomin, Zhang, Jiangguo, Han, Meifang, Guo, Wei, Wang, Hongwu, Wu, Di, Xi, Dong, Luo, Xiaoping, Ning, Qin
Publikováno v:
In Cellular Immunology November 2012 280(1):76-84
Autor:
Lu, Yulei, Wang, Xiaojing, Yan, Weiming, Wang, Hongwu, Wang, Ming, Wu, Di, Zhu, Lin, Luo, Xiaoping, Ning, Qin
Publikováno v:
In Molecular Immunology October-December 2012 52(3-4):229-236
Akademický článek
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Publikováno v:
Drug Design, Development and Therapy.
Yulei Lu,1 Shengming Wu,2 Bangde Xiang,3 Lequn Li,3 Youzhi Lin3 1Guangxi Medical University Cancer Hospital, Nanning, Guangxi 530021, People’s Republic of China; 2Departments of Pathology, Guangxi Medical University Cancer Hospital, Nanning, Guangx
Publikováno v:
2019 Chinese Control And Decision Conference (CCDC).
In RoboCup3D humanoid robot competition, players need to have a better offensive and defensive ability, efficient walking is the basis of collaboration and confrontation. RoboCup3D is a highly simulated complex environment, for different real-time fo