RegNet

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Data related to SElf-supERvised (SEER), an image classifier pretrained on unlabeled images
RegNet

Pretraining on Uncurated Data: How unlabeled data improved computer vision accuracy.

It’s well established that pretraining a model on a large dataset improves performance on fine-tuned tasks. In sufficient quantity and paired with a big model, even data scraped from the internet at random can contribute to the performance boost.

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