Contrastive learning methods have been widely adopted in numerous unsupervised and self-supervised visual representation learning methods. Such algorithms aim to maximize the cosine similarity between two positive samples while minimizing that of the negative samples. Recently. Grill et al. https://www.ealisboa.com/limited-stock-Purple-House-Arrethe-Bush-Balm-Soap-quick-super/