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://fitnessgravesyardes.shop/product-category/crank-and-shroud/