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Nutrition estimation is crucial for effective dietary management and overall health and well-being. Existing methods often struggle with sub-optimal accuracy and can be time-consuming. In this paper, we propose NuNet, a transformer-based network desi
Externí odkaz:
http://arxiv.org/abs/2406.01938
Publikováno v:
In SSM - Population Health June 2024 26
Reasoning over knowledge graphs is traditionally built upon a hierarchy of languages in the Semantic Web Stack. Starting from the Resource Description Framework (RDF) for knowledge graphs, more advanced constructs have been introduced through various
Externí odkaz:
http://arxiv.org/abs/2003.03785
Human-object interaction detection (HOI) aims to visually deduce how people interact with surrounding objects. Although there is significant progress in advancing classification models for HOI, data remains a key problem limiting the application of H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15d02620132b9e231ca0de0863e8e867
Publikováno v:
2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct).
The task of classifying or predicting the activity performed by humans is called human activity recognition. Many existing models aim to solve the problem of activity recognition in this field, but we recognise the lack of real data can have a great