Hi, thank you for sharing this impressive work on VitSTR.
My name is Minchan Ahn, a researcher at the Computer Vision Lab at Inha University. I am highly interested in applying your model to Korean text recognition tasks.
I was wondering if you (or anyone in the community) have experimented with Korean characters (Hangul) or have any pre-trained checkpoints available for Korean datasets?
If public weights are not available, could you share any specific configurations or tips that might be helpful for training VitSTR on a language with a large character set like Korean?
Thanks in advance for your help.
Hi, thank you for sharing this impressive work on VitSTR.
My name is Minchan Ahn, a researcher at the Computer Vision Lab at Inha University. I am highly interested in applying your model to Korean text recognition tasks.
I was wondering if you (or anyone in the community) have experimented with Korean characters (Hangul) or have any pre-trained checkpoints available for Korean datasets?
If public weights are not available, could you share any specific configurations or tips that might be helpful for training VitSTR on a language with a large character set like Korean?
Thanks in advance for your help.