Using cascade CNN-LSTM-FCNs to identify AI-altered video based on eye state sequence

Deep learning is notably successful in data analysis, computer vision, and human control. Nevertheless, this approach has inevitably allowed the development of DeepFake video sequences and images that could be altered so that the changes are not easily or explicitly detectable. Such alterations have...

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Detalles Bibliográficos
Autores principales: Saealal, Muhammad Salihin, Ibrahim, Mohd Zamri, Mulvaney, David. J., Shapiai, Mohd Ibrahim, Fadilah, Norasyikin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754287/
https://www.ncbi.nlm.nih.gov/pubmed/36520851
http://dx.doi.org/10.1371/journal.pone.0278989

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754287/
https://www.ncbi.nlm.nih.gov/pubmed/36520851
http://dx.doi.org/10.1371/journal.pone.0278989

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