Comments (3)
Hi,
- We used ResNet50 architecture (you can see the code at here).
- We used both seen and unseen fonts for classifier training, but we did not use all the training data. We filtered the training data in three ways;
- (Character) We used only the 6,428 characters existing both in GB2312 and our decomposition table for content-aware classifier training.
- (Font) We excluded very similar fonts for classifier training to achieve better style accuracy from GT images (> 99%).
- (Font) We excluded the fonts which do not include all the 6,428 characters to prevent data skewness.
If you are training your own classifiers, this may help you.
Thanks!
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Thanks for your reply. It helps!
from lffont.
Closing the issue, assuming the answer resolves the problem.
Please re-open the issue as necessary.
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