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SMaTE: A Segment-Level Feature Mixing and Temporal Encoding Framework for Facial Expression Recognition
Despite advanced machine learning methods, the implementation of emotion recognition systems based on real-world video content remains challenging. Videos may contain data such as images, audio, and text. However, the application of multimodal models using two or more types of data to real-world vid...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371125/ https://www.ncbi.nlm.nih.gov/pubmed/35957313 http://dx.doi.org/10.3390/s22155753 |