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pro vyhledávání: '"Guo, Kaiyu"'
Deep learning models suffer from catastrophic forgetting when being fine-tuned with samples of new classes. This issue becomes even more pronounced when faced with the domain shift between training and testing data. In this paper, we study the critic
Externí odkaz:
http://arxiv.org/abs/2309.13563
Autor:
Guo, Kaiyu, Lovell, Brian
Despite much progress being made in the field of object recognition with the advances of deep learning, there are still several factors negatively affecting the performance of deep learning models. Domain shift is one of these factors and is caused b
Externí odkaz:
http://arxiv.org/abs/2303.01233
Publikováno v:
In Computer Vision and Image Understanding December 2024 249
Publikováno v:
In Expert Systems With Applications 1 December 2024 255 Part B
Autor:
Zhang, Xiaolu, Jiang, Wenchao, Guo, Kaiyu, Guo, Zhouguanrui, Duan, Jingmin, Jing, Xinyuan, Xia, Qingyou, Zhao, Ping
Publikováno v:
In International Journal of Biological Macromolecules December 2024 282 Part 5
Autor:
Jiang, Wenchao, Guo, Kaiyu, Dong, Haonan, Zhang, Xiaolu, Guo, Zhouguanrui, Duan, Jingmin, Jing, Xinyuan, Xia, Qingyou, Zhao, Ping
Publikováno v:
In International Journal of Biological Macromolecules August 2024 274 Part 2
Autor:
Guo, Kaiyu, Lovell, Brian C.
Publikováno v:
In Computer Vision and Image Understanding June 2024 243
Publikováno v:
In Results in Physics January 2024 56
Akademický článek
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Publikováno v:
In International Journal of Biological Macromolecules 15 July 2023 243