augmentation features or logits?

[Bunnyqiqi]

Hi, thanks a lot for your works. There are two questions that confused me a lot:

(1) I think CV_temp is the covariance matrix corresponding to each class, but following augmentations happened on y, and y is logits. If features shape is [N, A], then y's shape is [N, C]. As your paper said, we should augment in features, should we augment on features not y? As the sigma2 is [N, C] , features is [N, A], If I'd like to augment directly on features, where should I correct?

(2)And what's the meaning of these two steps on sigma2 computation?

Thanks a lot !