The multi-learning for food analyses in computer vision: a survey-Reference-Cited by-同舟云学术

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The multi-learning for food analyses in computer vision: a survey

Published:2023-01-26 Issue:17 Volume:82 Page:25615-25650
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Dai Jingzhao,Hu Xuejiao,Li Ming,Li Yang,Du Sidan^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-14373-6.pdf

Reference100 articles.

1. Aguilar E, Bolaños M, Radeva P (2019) Regularized uncertainty-based multi-task learning model for food analysis. J Vis Commun Image Represent 60:360–370. https://doi.org/10.1016/j.jvcir.2019.03.011

2. AlZu’bi S, Hawashin B, Mujahed M, Jararweh Y, Gupta BB (2019) An efficient employment of internet of multimedia things in smart and future agriculture. Multimed Tools Appl 78(20):29581–29605. https://doi.org/10.1007/s11042-019-7367-0

3. Anis S, Lai KW, Chuah JH, Ali SM, Mohafez H, Hadizadeh M, Yan D, Ong ZC (2020) An overview of deep learning approaches in chest radiograph. IEEE Access 8:182347–182354. https://doi.org/10.1109/ACCESS.2020.3028390

4. Bahdanau D, Cho K, Bengio Y (2015) Neural machine translation by jointly learning to align and translate. International conference on learning representations (ICLR). https://doi.org/10.48550/arXiv.1409.0473

5. Bettadapura V, Thomaz E, Parnami A et al (2015) Leveraging context to support automated food recognition in restaurants. 2015 IEEE Winter Conference on Applications of Computer Vision 580–587. https://doi.org/10.1109/WACV.2015.83

Cited by 1 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

1. Visual Recognition of Food Ingredients: A Systematic Review;Computer Vision - Annual Volume 2023 [Working Title];2023-12-18

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