CIFAR-FS (CIFAR100 few-shots)

Introduced by Bertinetto et al. in Meta-learning with differentiable closed-form solvers

CIFAR100 few-shots (CIFAR-FS) is randomly sampled from CIFAR-100 (Krizhevsky & Hinton, 2009) by using the same criteria with which miniImageNet has been generated. The average inter-class similarity is sufficiently high to represent a challenge for the current state of the art. Moreover, the limited original resolution of 32×32 makes the task harder and at the same time allows fast prototyping.

Source: Bertinetto et al.

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