Long-Tailed Continual Learning For Visual Food Recognition

no code implementations • 1 Jul 2023 • Jiangpeng He, Luotao Lin, Jack Ma, Heather A. Eicher-Miller, Fengqing Zhu

First, as new foods appear sequentially overtime, a trained model needs to learn the new classes continuously without causing catastrophic forgetting for already learned knowledge of existing food types.

Continual Learning Data Augmentation +2

Long-tailed Food Classification

no code implementations • 26 Oct 2022 • Jiangpeng He, Luotao Lin, Heather Eicher-Miller, Fengqing Zhu

Food classification serves as the basic step of image-based dietary assessment to predict the types of foods in each input image.

Classification Data Augmentation +1

Towards the Creation of a Nutrition and Food Group Based Image Database

no code implementations • 5 Jun 2022 • Zeman Shao, Jiangpeng He, Ya-Yuan Yu, Luotao Lin, Alexandra Cowan, Heather Eicher-Miller, Fengqing Zhu

Food classification is critical to the analysis of nutrients comprising foods reported in dietary assessment.

Classification Nutrition

Improving Dietary Assessment Via Integrated Hierarchy Food Classification

no code implementations • 6 Sep 2021 • Runyu Mao, Jiangpeng He, Luotao Lin, Zeman Shao, Heather A. Eicher-Miller, Fengqing Zhu

Image-based dietary assessment refers to the process of determining what someone eats and how much energy and nutrients are consumed from visual data.

Classification Nutrition