A Study of Multi-task and Region-wise Deep Learning for Food Ingredient Recognition

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, pp. 1514-1526, 2020.

Cited by: 0|Bibtex|Views13|DOI:https://doi.org/10.1109/TIP.2020.3045639
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Other Links: pubmed.ncbi.nlm.nih.gov|academic.microsoft.com

Abstract:

Food recognition has captured numerous research attention for its importance for health-related applications. The existing approaches mostly focus on the categorization of food according to dish names, while ignoring the underlying ingredient composition. In reality, two dishes with the same name do not necessarily share the exact list of...More

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