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Hi @HobbitLong ,
Thank you for your great contribution in this task. I was wondering the same question with @Hiiragi0107 . It seems in a supervised contrastive mode. It is not necessary to provide two views(crops) for each sample. Aligning features of the same class to be neighbors and distancing features from different classes should also improve the performance for supervised contrastive setting. So could you help to elaborate a littble bit on the experimental difference between 'contrasting with 1 view with labels' and 'contrasting with two views with labels' ?
What is the difference between all and one of the contrast modes?
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