The promise of zero-shot learning for alcohol image detection: comparison with a task-specific deep learning algorithm
Abstract 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...
Main Authors: | Abraham Albert Bonela, Aiden Nibali, Zhen He, Benjamin Riordan, Dan Anderson-Luxford, Emmanuel Kuntsche |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-07-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-39169-4 |
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