Dataset Groups Activity Stream MOCA: Masked Online Codebook Assignments prediction Self-supervised representation learning for Vision Transformers (ViT) to mitigate the greedy needs of ViT networks for very large fully-annotated datasets. BibTex: @dataset{Spyros_Gidaris_and_Andrei_Bursuc_and_Oriane_Simeoni_and_Antonin_Vobecky_and_Nikos_Komodakis_and_Matthieu_Cord_and_Patrick_Pérez_2024, abstract = {Self-supervised representation learning for Vision Transformers (ViT) to mitigate the greedy needs of ViT networks for very large fully-annotated datasets.}, author = {Spyros Gidaris and Andrei Bursuc and Oriane Simeoni and Antonin Vobecky and Nikos Komodakis and Matthieu Cord and Patrick Pérez}, doi = {10.57702/bzs2092i}, institution = {No Organization}, keyword = {'Masked Image Modeling', 'Self-Supervised Learning', 'Vision Transformers'}, month = {dec}, publisher = {TIB}, title = {MOCA: Masked Online Codebook Assignments prediction}, url = {https://service.tib.eu/ldmservice/dataset/moca--masked-online-codebook-assignments-prediction}, year = {2024} }
