Table 6.xls (5.5 kB)
Comparison of the results between the proposed method and the conventional methods on the food-11 dataset.
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posted on 2024-01-19, 18:30 authored by Le Bu, Caiping Hu, Xiuliang ZhangComparison of the results between the proposed method and the conventional methods on the food-11 dataset.
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high enough duegeneric image featuresclassify feature informationexperimental results demonstratedstrong learning abilityfood images basedfood image datasetfood image recognitionfood imagesgeneralization abilitytransfer learningimagenet datasetensemble learning11 datasetfood retrievalfood recommendationxlink ">small intersingle modelsseveral kindsreaching 96nutrition monitoringmodel finemobilenet v2large intragreat significanceensemble modelsensemble modelcomplex backgroundclass differencesbase learner88 %,
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