Multimodal Emotion Recognition from Art Using Sequential Co-Attention

In this study, we present a multimodal emotion recognition architecture that uses both feature-level attention (sequential co-attention) and modality attention (weighted modality fusion) to classify emotion in art. The proposed architecture helps the model to focus on learning informative and refine...

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Detalles Bibliográficos
Autores principales: Tashu, Tsegaye Misikir, Hajiyeva, Sakina, Horvath, Tomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8404915/
https://www.ncbi.nlm.nih.gov/pubmed/34460793
http://dx.doi.org/10.3390/jimaging7080157

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8404915/
https://www.ncbi.nlm.nih.gov/pubmed/34460793
http://dx.doi.org/10.3390/jimaging7080157

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