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About facal loss?

Open rongyixiao opened this issue 5 years ago • 3 comments

Hello, does facal loss address data imbalance? if data is balance, is facal loss useless? In this case, loss in the original paper should be adopted?

rongyixiao avatar Oct 29 '19 12:10 rongyixiao

1 、Facal loss is supposed to increase learning of difficult samples, right? 2、Why is my facal loss almost the same? Thank you

rongyixiao avatar Oct 29 '19 12:10 rongyixiao

Hello, does facal loss address data imbalance? if data is balance, is facal loss useless? In this case, loss in the original paper should be adopted? @rongyixiao Q1:due to the unbalance distribution of wiki and imdb. Q2: you can use CE, when the dataset distribute balancely. Q3: origin papper may randomly select sample so that decrease the risk of overfitting and unbalance

StevenBanama avatar Oct 29 '19 14:10 StevenBanama

focal loss

StevenBanama avatar Oct 29 '19 14:10 StevenBanama