SwAV: Unsupervised Learning Transformed to Transportation Problem using Multi-crop Technique
In paper SeLa (Self-labeling), the cluster-based self-supervised method is transformed to a transportation problem, and optimized using Sinkhorn-Knopp algorithm. This paper refined the methods by using contrastive learning between views and applied multi-crop technique.