Seonglae ChoImage JEPA
I-JEPA: The first AI model based on Yann LeCun’s vision for more human-like AI
I-JEPA learns by creating an internal model of the outside world, which compares abstract representations of images (rather than comparing the pixels themselves).
https://ai.meta.com/blog/yann-lecun-ai-model-i-jepa/
Self-Supervised Learning from Images with a Joint-Embedding...
This paper demonstrates an approach for learning highly semantic image representations without relying on hand-crafted data-augmentations. We introduce the Image-based Joint-Embedding Predictive...
https://arxiv.org/abs/2301.08243
