SCL: Self-supervised contrastive learning for few-shot image classification

Author:

Lim Jit YanORCID,Lim Kian MingORCID,Lee Chin Poo,Tan Yong XuanORCID

Funder

Malaysia Ministry of Higher Education

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference70 articles.

1. Conditional self-supervised learning for few-shot classification;An,2021

2. Antoniou, A., Edwards, H., & Storkey, A. (2019). How to train your MAML. In International conference on learning representations. URL: https://openreview.net/forum?id=HJGven05Y7.

3. Bertinetto, L., Henriques, J. F., Torr, P., & Vedaldi, A. (2018). Meta-learning with differentiable closed-form solvers. In International conference on learning representations.

4. Few-shot learning in deep networks through global prototyping;Blaes;Neural Networks,2017

5. Chen, D., Chen, Y., Li, Y., Mao, F., He, Y., & Xue, H. (2021). Self-Supervised Learning for Few-Shot Image Classification. In ICASSP 2021 - 2021 IEEE international conference on acoustics, speech and signal processing (pp. 1745–1749). http://dx.doi.org/10.1109/ICASSP39728.2021.9413783.

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