Can Hierarchical Transformers Learn Facial Geometry?

Human faces are a core part of our identity and expression, and thus, understanding facial geometry is key to capturing this information. Automated systems that seek to make use of this information must have a way of modeling facial features in a way that makes them accessible. Hierarchical, multi-l...

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Detalles Bibliográficos
Autores principales: Young, Paul, Ebadi, Nima, Das, Arun, Bethany, Mazal, Desai, Kevin, Najafirad, Peyman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9862876/
https://www.ncbi.nlm.nih.gov/pubmed/36679725
http://dx.doi.org/10.3390/s23020929

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9862876/
https://www.ncbi.nlm.nih.gov/pubmed/36679725
http://dx.doi.org/10.3390/s23020929

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