The promise of zero-shot learning for alcohol image detection: comparison with a task-specific deep learning algorithm

Exposure to alcohol content in media increases alcohol consumption and related harm. With exponential growth of media content, it is important to use algorithms to automatically detect and quantify alcohol exposure. Foundation models such as Contrastive Language-Image Pretraining (CLIP) can detect a...

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Detalles Bibliográficos
Autores principales: Bonela, Abraham Albert, Nibali, Aiden, He, Zhen, Riordan, Benjamin, Anderson-Luxford, Dan, Kuntsche, Emmanuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363523/
https://www.ncbi.nlm.nih.gov/pubmed/37482586
http://dx.doi.org/10.1038/s41598-023-39169-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363523/
https://www.ncbi.nlm.nih.gov/pubmed/37482586
http://dx.doi.org/10.1038/s41598-023-39169-4

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