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Can you please explain what was your methodology of training DARN network? DARN has n-branches for each attribute group and expects to have one label per class but in deep fashion data, many a times, multiple attributes belonging to same group get activated (multi-label per class). How are training DARN in that case?
The text was updated successfully, but these errors were encountered:
Hi authors,
Can you please explain what was your methodology of training DARN network? DARN has n-branches for each attribute group and expects to have one label per class but in deep fashion data, many a times, multiple attributes belonging to same group get activated (multi-label per class). How are training DARN in that case?
The text was updated successfully, but these errors were encountered: