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The miniImageNet was proposed for few-shot classification in this paper.
The ImageNet-Subset was proposed for class-incremental learning in this paper.
So, miniImageNet and ImageNet-Subset are two different datasets for different tasks. If we hope to compare our method with existing work, we need to use the corresponding datasets.
Hello, thank you for sharing great project.
I wonder, what is difference between subset-ImageNet and miniImageNet?
They both are subset of ImageNet and have 100 classses.
So, would there be any reason for using subset-ImageNet instead of miniImageNet?
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