Article

A multimodal deep learning architecture for smoking detection with a small data approach

2023-09-19

Abstract excerpt

<h4>Introduction</h4> Covert tobacco advertisements often raise regulatory measures. This paper presents that artificial intelligence, particularly deep learning, has great potential for detecting hidden advertising and allows unbiased, reproducible, and fair quantification of tobacco-related media content. <h4>Methods</h4> We propose an integrated text and image processing model based on deep learning, generative...

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Literature Corpus work: 3846d909-9da4-5b0d-b2d2-9dd999623622
DOI: 10.1101/2023.09.19.23295710

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