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Feature space augmentation for long-tailed data
Feature space augmentation for long-tailed data. -
ImageNet-LT
The dataset is a benchmark for self-supervised learning on long-tailed data. It contains 115.8K images with 1000 categories, ranging from 1,280 to 5 in terms of class cardinality.