Taming the Randomness: Towards Label-Preserving Cropping in Contrastive Learning

Mohamed Hassan, Mohammad Wasil, Sebastian Houben

Contrastive learning (CL) approaches have gained great recognition as a very successful subset of self-supervised learning (SSL) methods. SSL enables learning from unlabeled data,…