1
$\begingroup$

given an unbalanced image classification task, I use CNN with undersampling of the majority class. In my context, undersampling gives quite stable results, even across different training sessions with different drawn majority instances. Nonetheless, I feel like drawing one undersampled data-set per epoch could improve the classification a bit;

Has anyone experience with this? Or is there some experimental or theoretical work on these undersampling schemes?

$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.