Facial expression recognition in videos using hybrid CNN & ConvLSTM

The three-dimensional convolutional neural network (3D-CNN) and long short-term memory (LSTM) have consistently outperformed many approaches in video-based facial expression recognition (VFER). The image is unrolled to a one-dimensional vector by the vanilla version of the fully-connected LSTM (FC-L...

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Detalles Bibliográficos
Autores principales: Singh, Rajesh, Saurav, Sumeet, Kumar, Tarun, Saini, Ravi, Vohra, Anil, Singh, Sanjay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028317/
https://www.ncbi.nlm.nih.gov/pubmed/37256027
http://dx.doi.org/10.1007/s41870-023-01183-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028317/
https://www.ncbi.nlm.nih.gov/pubmed/37256027
http://dx.doi.org/10.1007/s41870-023-01183-0

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