Bias correction layer is different from the original paper

[sobir-git]

In the original paper, bias correction layer consists of only two parameters "alpha" and "beta", which are only applied to the logits corresponding to the last trained group of classes. Here it seems like you have multiple such layers for each group of classes. https://github.com/sairin1202/BIC/blob/56a34c47f4cce673aa646ecdb91030289e19fc84/trainer.py#L191-L202