这是一个基于Transformer的自监督学习(SSL)框架,用于图像分类、目标检测和分割任务。该框架使用了多种自监督学习方法,包括对比学习、自编码器和生成对抗网络等。 类似的项目有: - SimCLR: A Simple Framework for Contrastive Learning of Visual Representations - BYOL: Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning - SwAV: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments