Paper Review, Deep Learning, Self Supervised Learning, Computer Vision, Pretrained Model.
like iBOT when trained at higher resolution, without using hand-crafted data augmentations. Low-Shot ImageNet-1K: I-JEPA outperforms MAE in the 1% ImageNet benchmark, where models are adapted for ImageNet classification using only 1% of the available labels, corresponding to roughly 12 or 13 images