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@@ -31,7 +31,7 @@ V-JEPA 2 is a self-supervised approach to training video encoders, using interne
**(Top)** The encoder and predictor are pre-trained through self-supervised learning from video using a masked latent feature prediction objective, leveraging abundant natural videos to bootstrap physical world understanding and prediction. **(Bottom)** Performance of V-JEPA 2 on downstream understanding and prediction tasks.
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