Analysis of Real-Time Face-Verification Methods for Surveillance Applications

In the last decade, face-recognition and -verification methods based on deep learning have increasingly used deeper and more complex architectures to obtain state-of-the-art (SOTA) accuracy. Hence, these architectures are limited to powerful devices that can handle heavy computational resources. Con...

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Bibliographic Details
Published inJournal of Imaging Vol. 9; no. 2; p. 21
Main Authors Filiberto Perez-Montes, Jesus Olivares-Mercado, Gabriel Sanchez-Perez, Gibran Benitez-Garcia, Lidia Prudente-Tixteco, Osvaldo Lopez-Garcia
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 18.01.2023
MDPI
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