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Dear Author, I appreciate your work, but i have some questions about the data imbalance. The face number with glasses is only 1377 as the numbe without glasses is 25622. I want to known the effects of the data imbalance. Thanks~
The text was updated successfully, but these errors were encountered:
Thanks for your attention of HiSD.
The imbalance problem can be widely seen in almost all unpaired datasets in I2I area. In most cases, it would be better if you have balanced dataset. Our dataset is directly converted by the label annotation file of CelebA. Since the labels are unbalanced, the numbers of reorganized images are unbalanced, too. However, if you want to focus on this, the results may be improved if you apply some tricks in long-tailed or unbalanced-labels area.
Dear Author, I appreciate your work, but i have some questions about the data imbalance. The face number with glasses is only 1377 as the numbe without glasses is 25622. I want to known the effects of the data imbalance. Thanks~
The text was updated successfully, but these errors were encountered: