SSDB-Net: a single-step dual branch network for weakly supervised semantic segmentation of food images

Cai, Q. and Abhayaratne, C. orcid.org/0000-0002-2799-7395 (2023) SSDB-Net: a single-step dual branch network for weakly supervised semantic segmentation of food images. In: 2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP) Proceedings. 2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP), 27-29 Sep 2023, Poitiers, France. Institute of Electrical and Electronics Engineers (IEEE) ISBN 9798350338942

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Item Type: Proceedings Paper
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© 2023 The Authors. Except as otherwise noted, this author-accepted version of a paper published in 2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP) Proceedings is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/

Keywords: Weakly supervised semantic segmentation; semantic food segmentation; food image analysis
Dates:
  • Published: 8 December 2023
  • Published (online): 8 December 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 03 Jan 2024 17:05
Last Modified: 04 Jan 2024 13:00
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: 10.1109/mmsp59012.2023.10337656
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