ImageNet-32
Introduced by Chrabaszcz et al. in A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets
Imagenet32 is a huge dataset made up of small images called the down-sampled version of Imagenet. Imagenet32 is composed of 1,281,167 training data and 50,000 test data with 1,000 labels.
Source: Self-supervised Knowledge Distillation Using Singular Value DecompositionBenchmarks
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ImageNet32
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iFlow
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ImageNet32
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MaskCon
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ImageNet32
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Resnet18
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ImageNet-32
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WRN
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Papers
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