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What is: SEER?

SourceSelf-supervised Pretraining of Visual Features in the Wild
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

SEER is a self-supervised learning approach for training large models on random, uncurated images with no supervision. It trains RegNet-Y architectures with the SwAV. Several adjustments are made to self-supervised training to make it work at a larger scale, including using a cosine learning schedule