Comments (1)
From source: https://arxiv.org/pdf/1901.05555.pdf
"Note that β = 0 corresponds to
no re-weighting and β → 1 corresponds to re-weighing by
inverse class frequency"
It looks like they are using binary CE here to determine which class needs to be scaled appropriately based on the number of effective samples. So one class will be a 1, while the rest are 0s.
from class-balanced-loss-pytorch.
Related Issues (19)
- Reduction for the Cross Entropy HOT 1
- Line 87 typo HOT 1
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- why is no_of_classes needed for weights normialisation HOT 3
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from class-balanced-loss-pytorch.