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.Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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CIFAR-FS 5-way (5-shot)
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CAML [Laion-2b]
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CIFAR-FS 5-way (1-shot)
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PT+MAP+SF+SOT
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Papers
| Paper | Code | Results | Date | Stars |
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