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English(EN) What Constitutes Food Similarity? Visual Representations and Retrieval in Indian Cuisine

AI模型揭示食物相似性取决于表征而非外观

研究人员探索了食物相似性的概念,特别是在印度菜肴中,使用了各种视觉表征和AI模型。他们的研究使用了扩展的Khana数据集和七种不同的预训练视觉模型,发现视觉相似性并不总是与烹饪身份一致。研究结果表明,食物相似性取决于所使用的表征、模态和抽象级别,而不是食物本身的固有属性。理解这一点对于将多种食物信息模态整合到统一的相似性框架中至关重要。 AI

影响 这项研究强调了AI模型如何解释视觉数据,表明理解食物相似性需要考虑AI的表征框架,而不仅仅是食物的外观。

排序理由 关于AI模型和食物相似性的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.IR (Information Retrieval) 阅读 →

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AI模型揭示食物相似性取决于表征而非外观

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关于AI模型和食物相似性的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Ramesh Jain ·

    什么是食物相似性?印度菜肴的视觉表征与检索

    Food similarity underlies retrieval, recommendation, substitution, and other food computing tasks, yet food representations are typically evaluated by identity preservation. We ask what happens to food similarity beyond identity: how different visual representations organize food…