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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| 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 |