Open haozhi1817 opened 1 year ago
Thanks for your interest in our work. Contrastive learning is based on raw augmented samples, rather than mixed samples. It works in parallel with mixup.
Thanks for your interest in our work. Contrastive learning is based on raw augmented samples, rather than mixed samples. It works in parallel with mixup.
Thanks for your prompt reply.
If we adopt the mixup strategy during training, how to samples x_i and x_j from the same class are considered as a positive pair ? Maybe we should sample two identical numbers form beta distribution as the "same class"?