Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Poor OCR performance #13

Open
tianzhangwu opened this issue Jan 22, 2025 · 2 comments
Open

Poor OCR performance #13

tianzhangwu opened this issue Jan 22, 2025 · 2 comments

Comments

@tianzhangwu
Copy link

It has almost none OCR ablility.

Image
@tianzhangwu
Copy link
Author

A more important question is,do you think that methods based on discrete tokens are inherently incapable of performing OCR?

@zhuoyang20
Copy link
Collaborator

Hi @tianzhangwu,

We didn't include heavy OCR data during VILA-U's training, and the image resolution is restricted, resulting in poor OCR performance. In our recent work, NVILA, we use dynamic resolution with image tiling techniques and train on more OCR data, leading to strong OCR capabilities. For discrete tokens, it should still be able to perform OCR, but the performance may be slightly worse than with continuous tokens.

Best,
Zhuoyang

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants