Dataset Groups Activity Stream 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. BibTex: @dataset{Qi_Han_and_Yuxuan_Cai_and_Xiangyu_Zhang_2024, abstract = {RevColV2 is a new architecture that learns disentangled representations during MIM pre-training and keeps a unified autoencoder architecture when transferring to downstream tasks.}, author = {Qi Han and Yuxuan Cai and Xiangyu Zhang}, doi = {10.57702/j0wllluy}, institution = {No Organization}, keyword = {'Disentangled representation', 'MIM pre-training', 'RevColV2'}, month = {dec}, publisher = {TIB}, title = {RevColV2}, url = {https://service.tib.eu/ldmservice/dataset/revcolv2}, year = {2024} }
