in #33, you said that because last fc layer(classifier) is implemented outside of whole model so y is embedding feature not logit
then why you update covariance using features variable not the y variable before entering isda_aug method?
what i understood by reading your paper is that the proposed augmentation is done on the embedding feature ai with covariance matrix yi which is constructed by calculating element wise variance of features whose classes are yi. am i right?
according to my understanding, covariance should be updated by using y variable
Hi
I read your paper. it's a very wonderful work
what i am confusing is related to #33
in #33, you said that because last fc layer(classifier) is implemented outside of whole model so y is embedding feature not logit
then why you update covariance using features variable not the y variable before entering isda_aug method?
what i understood by reading your paper is that the proposed augmentation is done on the embedding feature ai with covariance matrix yi which is constructed by calculating element wise variance of features whose classes are yi. am i right?
according to my understanding, covariance should be updated by using y variable
Thanks a lot!