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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Detalles Bibliográficos
Autores principales: Perez-Montes, Filiberto, Olivares-Mercado, Jesus, Sanchez-Perez, Gabriel, Benitez-Garcia, Gibran, Prudente-Tixteco, Lidia, Lopez-Garcia, Osvaldo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9963021/
https://www.ncbi.nlm.nih.gov/pubmed/36826940
http://dx.doi.org/10.3390/jimaging9020021

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9963021/
https://www.ncbi.nlm.nih.gov/pubmed/36826940
http://dx.doi.org/10.3390/jimaging9020021

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