D-PAttNet: Dynamic Patch-Attentive Deep Network for Action Unit Detection

Facial action units (AUs) relate to specific local facial regions. Recent efforts in automated AU detection have focused on learning the facial patch representations to detect specific AUs. These efforts have encountered three hurdles. First, they implicitly assume that facial patches are robust to...

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Detalles Bibliográficos
Autores principales: Ertugrul, Itir Onal, Yang, Le, Jeni, László A., Cohn, Jeffrey F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6953909/
https://www.ncbi.nlm.nih.gov/pubmed/31930192
http://dx.doi.org/10.3389/fcomp.2019.00011

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6953909/
https://www.ncbi.nlm.nih.gov/pubmed/31930192
http://dx.doi.org/10.3389/fcomp.2019.00011

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