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Oct, 2024
GPT-4V在时尚美学评估中的实证分析
An Empirical Analysis of GPT-4V's Performance on Fashion Aesthetic Evaluation
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Yuki Hirakawa, Takashi Wada, Kazuya Morishita, Ryotaro Shimizu, Takuya Furusawa...
TL;DR
本研究探讨了GPT-4V在时尚美学评估任务中的零样本性能,首次对该技术在评估个人穿着的适宜性进行分析。我们的研究发现,GPT-4V的预测结果与人类判断相对一致,但在对相似颜色的服饰进行排名时存在困难。这项工作为机器学习在时尚领域的应用提供了新的见解和潜在影响。
Abstract
Fashion Aesthetic
evaluation is the task of estimating how well the outfits worn by individuals in images suit them. In this work, we examine the
Zero-shot Performance
of
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