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Excuse me, I recently paid attention to this paper. when I use the Supervised_NT_xent loss, I find that there are some question maybe. In SupCLR paper, when calculate the loss,...

Thanks for submitting such a great job, but I have some questions with prior-association of the code https://github.com/thuml/Anomaly-Transformer/blob/72a71e5f0847bd14ba0253de899f7b0d5ba6ee97/model/attn.py#L48-L49 In this part, some mathematical processing is done on the `sigma` Could...

In your code, when regularization is computed, the rw is multiplied by a coefficient, that is: https://github.com/koshian2/affinity-loss/blob/c678c3cd5c63767ff4217733bd978e0d9ef24ceb/affinity_loss.py#L46 But in the original paper, the coefficient is unnecessary, see Equations 7 and...