GenView: Enhancing View Quality with Pretrained Generative Model for
Self-Supervised Learning
GenView: Enhancing View Quality with Pretrained Generative Model for
Self-Supervised Learning
Self-supervised learning has achieved remarkable success in acquiring high-quality representations from unlabeled data. The widely adopted contrastive learning framework aims to learn invariant representations by minimizing the distance between positive views originating from the same image. However, existing techniques to construct positive views highly rely on manual transformations, resulting in …