TransVLAD: Focusing on Locally Aggregated Descriptors for Few-Shot Learning-Reference-Cited by-同舟云学术

TransVLAD: Focusing on Locally Aggregated Descriptors for Few-Shot Learning

Published:2022 Issue: Volume: Page:524-540
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Li Haoquan^ORCID,Zhang Laoming^ORCID,Zhang Daoan^ORCID,Fu Lang^ORCID,Yang Peng^ORCID,Zhang Jianguo^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-20044-1_30

Reference56 articles.

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3. Bateni, P., Goyal, R., Masrani, V., Wood, F., Sigal, L.: Improved few-shot visual classification. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 14493–14502 (2020)

4. Berthelot, D., Carlini, N., Goodfellow, I., Papernot, N., Oliver, A., Raffel, C.A.: Mixmatch: a holistic approach to semi-supervised learning. In: Advances in Neural Information Processing Systems, vol. 32 (2019)

5. Bertinetto, L., Henriques, J.F., Torr, P.H., Vedaldi, A.: Meta-learning with differentiable closed-form solvers. arXiv preprint. arXiv:1805.08136 (2018)

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