An overview on meta-learning approaches for few-shot weakly-supervised segmentation (2023)
Source: Computers & Graphics. Unidade: IME
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS
ABNT
GAMA, Pedro Henrique Targino et al. An overview on meta-learning approaches for few-shot weakly-supervised segmentation. Computers & Graphics, v. 113, p. 77-88, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.cag.2023.05.009. Acesso em: 14 out. 2024.APA
Gama, P. H. T., Oliveira, H. N. de, Santos, J. A. dos, & César Júnior, R. M. (2023). An overview on meta-learning approaches for few-shot weakly-supervised segmentation. Computers & Graphics, 113, 77-88. doi:10.1016/j.cag.2023.05.009NLM
Gama PHT, Oliveira HN de, Santos JA dos, César Júnior RM. An overview on meta-learning approaches for few-shot weakly-supervised segmentation [Internet]. Computers & Graphics. 2023 ; 113 77-88.[citado 2024 out. 14 ] Available from: https://doi.org/10.1016/j.cag.2023.05.009Vancouver
Gama PHT, Oliveira HN de, Santos JA dos, César Júnior RM. An overview on meta-learning approaches for few-shot weakly-supervised segmentation [Internet]. Computers & Graphics. 2023 ; 113 77-88.[citado 2024 out. 14 ] Available from: https://doi.org/10.1016/j.cag.2023.05.009