Towards Learning Food Portion From Monocular Images With Cross-Domain Feature Adaptation-Reference-Cited by-同舟云学术

Towards Learning Food Portion From Monocular Images With Cross-Domain Feature Adaptation

Published:2021-10-06 Issue: Volume: Page:
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Container-title:2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP)
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Author:

Shao Zeman¹,Fang Shaobo¹,Mao Runyu¹,He Jiangpeng¹,Wright Janine L.²,Kerr Deborah A.²,Boushey Carol J.³,Zhu Fengqing¹

Affiliation:

1. Purdue University,School of Electrical and Computer Engineering,West Lafayette,Indiana,USA

2. Curtin University,School of Public Health,Perth,Western Australia

3. University of Hawaii Cancer Center,Cancer Epidemiology Program,Honolulu,Hawaii,USA

Publisher

IEEE

Link

Reference21 articles.

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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4. Diffusion Model with Clustering-based Conditioning for Food Image Generation;Proceedings of the 8th International Workshop on Multimedia Assisted Dietary Management;2023-10-29

5. An Improved Encoder-Decoder Framework for Food Energy Estimation;Proceedings of the 8th International Workshop on Multimedia Assisted Dietary Management;2023-10-29