OSKAR: Omnimodal Self-supervised Knowledge Abstraction and Representation
OSKAR is a self-supervised multimodal foundation model that learns in the latent space by predicting masked multimodal features.
mohamed-abdelfattah
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1 min read
OSKAR is a self-supervised multimodal foundation model that learns in the latent space by predicting masked multimodal features.