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RevColV2

RevColV2 is a new architecture that learns disentangled representations during MIM pre-training and keeps a unified autoencoder architecture when transferring to downstream tasks.

Data and Resources

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Cite this as

Qi Han, Yuxuan Cai, Xiangyu Zhang (2024). Dataset: RevColV2. https://doi.org/10.57702/j0wllluy

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It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 3, 2024
Last update	December 3, 2024
Author	Qi Han
More Authors	Yuxuan Cai Xiangyu Zhang
Homepage	https://github.com/megvii-research/RevCol