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://countryscenesaddleryandpetsuppliers.shop/product-category/handbags-and-wallets-cross-body-purses/