Early Fusion of Visual and Ingredient Representations for Multimodal Food Classification

Identifying the most appropriate food dish based on available kitchen ingredients remains a practical yet challenging task in everyday life. To address this, this study specifically aims to develop an intelligent food classification system using a multimodal approach. We propose a multimodal food cl...

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Autori principali:	Navira Rahma Salsabila, Adela Regita Azzahra, Fitri Utaminingrum, Barlian Henryranu Prasetio
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Department of Informatics, UIN Sunan Gunung Djati Bandung 2026-04-01
Serie:	JOIN: Jurnal Online Informatika
Soggetti:	artificial intelligence clip early fusion food recognition multimodal classification
Accesso online:	https://join.if.uinsgd.ac.id/index.php/join/article/view/1725
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