A Deep Learning Framework for Grocery Product Detection and Recognition-Reference-Cited by-同舟云学术

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A Deep Learning Framework for Grocery Product Detection and Recognition

Published:2022-08-13 Issue:12 Volume:15 Page:3498-3522
ISSN:1936-9751
Container-title:Food Analytical Methods
language:en
Short-container-title:Food Anal. Methods

Author:

Selvam Prabu,Koilraj Joseph Abraham Sundar

Publisher

Springer Science and Business Media LLC

Subject

Safety Research,Safety, Risk, Reliability and Quality,Applied Microbiology and Biotechnology,Food Science,Analytical Chemistry

Link

https://link.springer.com/content/pdf/10.1007/s12161-022-02384-2.pdf

Reference66 articles.

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2. Baek Y, Lee B, Han D, Yun S, H. Lee G (2019) Character region awareness for text detection. In: Proceedings of the IEEE conference on computer vision and pattern recognition, Long Beach, CA, USA. IEEE, pp 9365–9374. https://doi.org/10.1109/CVPR.2019.00959

3. Beis JS, Lowe DG (1997) Shape indexing using approximate nearest-neighbour search in high-dimensional spaces. In: Proceedings of the computer vision and pattern recognition, San Juan, PR, USA. IEEE, pp 1000–1006. https://doi.org/10.1109/CVPR.1997.609451

4. Bukhari ST, Amin AW, Naveed MA, Abbas MR (2021) ARC: a vision-based Automatic Retail Checkout system. arXiv preprint arXiv:2104.02832, pp 1–8. https://doi.org/10.48550/arXiv.2104.02832

5. Buta M, Neumann L, Matas J (2015) FASText: efficient unconstrained scene text detector. IN: Proceedings of the IEEE International Conference on Computer Vision (ICCV), Santiago, Chile. IEEE, pp 1206–1214

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