ImageNet-32
홈페이지 · 논문 112편
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 Decomposition Image Source: https://arxiv.org/pdf/1707.08819v3.pdf
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