Zobrazeno 1 - 10
of 193 753
pro vyhledávání: '"Semi-Supervised"'
Autor:
Guoqiang Zhong
Semi-supervised learning is an important area of machine learning. It deals with problems that involve a lot of unlabeled data and very scarce labeled data. The book focuses on some state-of-the-art research on semi-supervised learning. In the first
Autor:
Long, Jianyu1 (AUTHOR), Chen, Yibin1,2 (AUTHOR), Yang, Zhe1 (AUTHOR), Huang, Yunwei1 (AUTHOR), Li, Chuan1 (AUTHOR) chuanli@dgut.edu.cn
Publikováno v:
International Journal of Production Research. Dec2023, Vol. 61 Issue 23, p8238-8251. 14p.
Autor:
Song, Xin1 (AUTHOR) songxin72@mail.dlut.edu.cn, Chen, Zhikui1 (AUTHOR) zkchen@dlut.edu.cn, Zhong, Fangming1 (AUTHOR) zkchen@dlut.edu.cn, Gao, Jing1 (AUTHOR), Zhang, Jianning1 (AUTHOR), Li, Peng1 (AUTHOR)
Publikováno v:
Sensors (14248220). Nov2024, Vol. 24 Issue 22, p7298. 19p.
Human action understanding is crucial for the advancement of multimodal systems. While recent developments, driven by powerful large language models (LLMs), aim to be general enough to cover a wide range of categories, they often overlook the need fo
Externí odkaz:
http://arxiv.org/abs/2501.01245
Autor:
Tang, Feilong, Xu, Zhongxing, Hu, Ming, Li, Wenxue, Xia, Peng, Zhong, Yiheng, Wu, Hanjun, Su, Jionglong, Ge, Zongyuan
In medical image analysis, multi-organ semi-supervised segmentation faces challenges such as insufficient labels and low contrast in soft tissues. To address these issues, existing studies typically employ semi-supervised segmentation techniques usin
Externí odkaz:
http://arxiv.org/abs/2412.19871