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PortionNet: Distilling 3D Geometric Knowledge for Food Nutrition Estimation

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Bibliographic Details
Published in:Journal of Computational Vision and Imaging Systems
Format: Online Article RSS Article
Published: 2026
Subjects:
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container_title Journal of Computational Vision and Imaging Systems
description
discipline_display Computer Science
discipline_facet Computer Science
format Online Article
RSS Article
genre Journal Article
id rss_article:78488
institution FRELIP
journal_source_facet Journal of Computational Vision and Imaging Systems
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle PortionNet: Distilling 3D Geometric Knowledge for Food Nutrition Estimation
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title PortionNet: Distilling 3D Geometric Knowledge for Food Nutrition Estimation
title_auth PortionNet: Distilling 3D Geometric Knowledge for Food Nutrition Estimation
title_full PortionNet: Distilling 3D Geometric Knowledge for Food Nutrition Estimation
title_fullStr PortionNet: Distilling 3D Geometric Knowledge for Food Nutrition Estimation
title_full_unstemmed PortionNet: Distilling 3D Geometric Knowledge for Food Nutrition Estimation
title_short PortionNet: Distilling 3D Geometric Knowledge for Food Nutrition Estimation
title_sort portionnet: distilling 3d geometric knowledge for food nutrition estimation
topic Computer Science
General
Computer Science
url https://openjournals.uwaterloo.ca/index.php/vsl/article/view/7120