Architecture prédictive à vecteurs sémantiques joints pour les images

Définition

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Français

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Anglais

Image Joint Embedding Predictive Architecture

I-JEPA

 Learns by creating an internal model of the outside world, which compares abstract representations of images (rather than comparing the pixels themselves). I-JEPA delivers strong performance on multiple computer vision tasks, and it’s much more computationally efficient than other widely used computer vision models. The representations learned by I-JEPA can also be used for many different applications without needing extensive fine tuning.

Source : meta