Few-Shot Classification with Contrastive Learning-Reference-Cited by-同舟云学术

Few-Shot Classification with Contrastive Learning

Published:2022 Issue: Volume: Page:293-309
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Yang Zhanyuan^ORCID,Wang Jinghua^ORCID,Zhu Yingying^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-20044-1_17

Reference56 articles.

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3. Chen, T., Kornblith, S., Norouzi, M., Hinton, G.E.: A simple framework for contrastive learning of visual representations. In: ICML, pp. 1597–1607 (2020)

4. Chen, T., Kornblith, S., Swersky, K., Norouzi, M., Hinton, G.E.: Big self-supervised models are strong semi-supervised learners. In: NIPS, pp. 22243–22255 (2020)

5. Chen, W., Liu, Y., Kira, Z., Wang, Y.F., Huang, J.: A closer look at few-shot classification. In: ICLR (2019)

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