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Recently, meta-learning has been shown as a promising way to solve few-shot learning.
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W. Li, L. Wang, J. Xu, J. Huo, Y. Gao, and J. Luo, “Revisiting local descriptor based image-to-class measure for few-shot learning,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2019, pp. 7260–7268
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