Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Improving Dietary Assessment Via Integrated Hierarchy Food
  Classification   Image-based dietary assessment refers to the process of determining what
someone eats and how much energy and nutrients are consumed from visual data.
Food classification is the first and most crucial step. Existing methods focus
on improving accuracy measured by the rate of correct classification based on
visual information alone, which is very challenging due to the high complexity
and inter-class similarity of foods. Further, accuracy in food classification
is conceptual as description of a food can always be improved. In this work, we
introduce a new food classification framework to improve the quality of
predictions by integrating the information from multiple domains while
maintaining the classification accuracy. We apply a multi-task network based on
a hierarchical structure that uses both visual and nutrition domain specific
information to cluster similar foods. Our method is validated on the modified
VIPER-FoodNet (VFN) food image dataset by including associated energy and
nutrient information. We achieve comparable classification accuracy with
existing methods that use visual information only, but with less error in terms
of energy and nutrient values for the wrong predictions.

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The categories of this paper are: adap-org
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The categories of this paper are: q-fin
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The categories of this paper are: atom-ph
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The categories of this paper are: econ
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The categories of this paper are: nucl-th
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The categories of this paper are: plasm-ph
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The categories of this paper are: gr-qc
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The categories of this paper are: quant-ph
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The categories of this paper are: physics
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The categories of this paper are: cond-mat
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The categories of this paper are: chao-dyn
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The categories of this paper are: nucl-ex
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The categories of this paper are: math-ph
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The categories of this paper are: hep-th
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The categories of this paper are: eess
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The categories of this paper are: comp-gas