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Code for "Long-tailed Distribution Adaptation"
Interesting work.
In your paper: "With a single classifier โ (termed balanced classifier), it is difficult to minimize two homogeneous risk functions defined in Equation 4."
This seems intuitive since it requires two fully connected layers for the classification of the two domains (Balanced and Unbalanced domains)
However, I'm very curious about the results of using just one classifier for both Balanced and Unbalanced domains.
Are there some experiments on this? Or can u pls give some insights of the reason behind this? (I suspect the effect may not be good using one classifier).
Thanks in advance. Hope to ger your early replay.
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