Zongxin Gao

Self-Supervised Representation Learning from Arbitrary Scenarios

Current self-supervised methods can primarily be categorized into contrastive learning and masked image modeling. Extensive studies have demonstrated that combining these two approaches can achieve state-of-the-art performance. However these methods essentially reinforce the global consistency of co…