Feature-Suppressed Contrast for Self-Supervised Food Pre-training-Reference-Cited by-同舟云学术

Feature-Suppressed Contrast for Self-Supervised Food Pre-training

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
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Author:

Liu Xinda¹^ORCID,Zhu Yaohui²^ORCID,Liu Linhu³^ORCID,Tian Jiang³^ORCID,Wang Lili¹^ORCID

Affiliation:

1. School of Computer Science and Engineering, Beihang University, Beijing, China

2. School of Artificial Intelligence, Beijing Normal University, Beijng, China

3. AI Lab, Lenovo Research, Beijing, China

Funder

National Key R&D plan

National Natural Science Foundation of China

Beijing Science and Technology Plan Project

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3613756

Reference48 articles.

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2. Hangbo Bao Li Dong Songhao Piao and Furu Wei. 2021. BEiT: BERT Pre-Training of Image Transformers. In ICLR. Hangbo Bao Li Dong Songhao Piao and Furu Wei. 2021. BEiT: BERT Pre-Training of Image Transformers. In ICLR.

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4. Lukas Bossard Matthieu Guillaumin and Luc Van Gool. 2014. Food-101-mining discriminative components with random forests. In ECCV. 446--461. Lukas Bossard Matthieu Guillaumin and Luc Van Gool. 2014. Food-101-mining discriminative components with random forests. In ECCV. 446--461.

5. Improving quality inspection of food products by computer vision––a review