Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Hyunmin Gwak"'
Publikováno v:
IEEE Access, Vol 11, Pp 16984-16993 (2023)
Face anti-spoofing (FAS) is a technology that protects face recognition systems from presentation attacks. The current challenge faced by FAS studies is the difficulty in creating a generalized light variation model. This is because face data are sen
Externí odkaz:
https://doaj.org/article/f598ba821cd74de5a37851554f4250af
Publikováno v:
Applied Sciences, Vol 13, Iss 24, p 13255 (2023)
The key to semi-supervised semantic segmentation is to assign the appropriate pseudo-label to the pixels of unlabeled images. Recently, various approaches to consistency-based training and the filtering of reliable pseudo-labels have shown remarkable
Externí odkaz:
https://doaj.org/article/bd619bd955ca43c581be2bd1529b6dce
Publikováno v:
Journal of Sensors, Vol 2021 (2021)
In this paper, we propose a robust and reliable face recognition model that incorporates depth information such as data from point clouds and depth maps into RGB image data to avoid false facial verification caused by face spoofing attacks while incr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fb115244f1309de8b4b232fcfea6a0e
https://doaj.org/article/a978197a1d384f5dbdc49a60bba71eff
https://doaj.org/article/a978197a1d384f5dbdc49a60bba71eff