image into two images and the embedding should be close take a different image it's embedding should be far from this and what's surprising about this even though it's relatively simple it enables representation learning that then on top of that all you need is a linear classifier to get a really good image that classification performance and they actually looked at many types of augmentations cropping cut out color surveilled filter Norris blur rotate and what they found is that crop matters the most and color matters quite a bit too