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Exploring Predictors of Facial Impressions: An Integrated Approach Utilizing VAE, Grad-CAM, and GPT-4V

2024-04-25

Abstract excerpt

<p>In recent years, the relationship between human facial features and the impressions they produce has been modelled computationally using geometric morphometrics and deep learning methods. However, appropriately labeled face image datasets often contain too few samples to train deep learning models. Additionally, predictor analyses of these models remains subjective. We combined geometric morphometrics with a va...

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Literature Corpus work
72d48d5b-84e3-5a6a-a642-28687b469357
DOI
10.31234/osf.io/uat6b
Open publication

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