5 citations · 14 across the 10 of their papers we have counts for
13 papers
Long-tailed Food Classification
Jiangpeng He, Luotao Lin, Heather Eicher-Miller +1
Food classification serves as the basic step of image-based dietary assessment to predict the types of foods in each input image. However, food image predictions in a real world sc…
Out-Of-Distribution Detection In Unsupervised Continual Learning
Jiangpeng He, Fengqing Zhu
Unsupervised continual learning aims to learn new tasks incrementally without requiring human annotations. However, most existing methods, especially those targeted on image classi…
Exemplar-free Online Continual Learning
Jiangpeng He, Fengqing Zhu
Targeted for real world scenarios, online continual learning aims to learn new tasks from sequentially available data under the condition that each data is observed only once by th…
Online Continual Learning Via Candidates Voting
Jiangpeng He, Fengqing Zhu
Continual learning in online scenario aims to learn a sequence of new tasks from data stream using each data only once for training, which is more realistic than in offline mode as…
An Integrated System for Mobile Image-Based Dietary Assessment
Zeman Shao, Yue Han, Jiangpeng He +5
Accurate assessment of dietary intake requires improved tools to overcome limitations of current methods including user burden and measurement error. Emerging technologies such as…
Improving Dietary Assessment Via Integrated Hierarchy Food Classification
Runyu Mao, Jiangpeng He, Luotao Lin +3
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 fi…