Understanding How CNNs Recognize Facial Expressions: A Case Study with LIME and CEM

Recognizing facial expressions has been a persistent goal in the scientific community. Since the rise of artificial intelligence, convolutional neural networks (CNN) have become popular to recognize facial expressions, as images can be directly used as input. Current CNN models can achieve high reco...

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Detalles Bibliográficos
Autores principales: del Castillo Torres, Guillermo, Roig-Maimó, Maria Francesca, Mascaró-Oliver, Miquel, Amengual-Alcover, Esperança, Mas-Sansó, Ramon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824600/
https://www.ncbi.nlm.nih.gov/pubmed/36616728
http://dx.doi.org/10.3390/s23010131

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824600/
https://www.ncbi.nlm.nih.gov/pubmed/36616728
http://dx.doi.org/10.3390/s23010131

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