GourmetNet: Food Segmentation Using Multi-Scale Waterfall Features with Spatial and Channel Attention

We propose GourmetNet, a single-pass, end-to-end trainable network for food segmentation that achieves state-of-the-art performance. Food segmentation is an important problem as the first step for nutrition monitoring, food volume and calorie estimation. Our novel architecture incorporates both chan...

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Autores principales: Udit Sharma, Bruno Artacho, Andreas Savakis
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/1115306637554b4f9acc4faeacaeaada
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