The author introduces LeOCLR, a framework that leverages original images to improve contrastive learning of visual representations. By addressing issues with data augmentation in representation learning, the approach consistently enhances representation learning across different datasets.
LeOCLR introduces a new framework for contrastive learning that leverages original images to improve representation learning by addressing semantic content issues in positive pairs.