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Royalvice / GDB

PR2024 GDB: Gated convolutions-based Document Binarization. This repository comprehensively collects the datasets that may be used in document binarization.
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Trained Weights (paper got accepted) #3

Open rbbernardino opened 1 year ago

rbbernardino commented 1 year ago

Hello there!

What a wonderful work, congratulations!

I'm doing some experimentation and would like to cite your paper in some comparisons where I compare the results with over 60 other modern and traditional algorithms.

I saw that the paper got accepted, do you still plan to provide the trained weights? We are really curious to see how your model would perform with so many other methods.

In future papers you would, of course, be cited and seen by many!

Royalvice commented 1 year ago

Thank you very much for your interest in my work and the possibility of citing my paper. I do have plans to release the pre-trained weights. In the meantime, you are welcome to directly reference the data from my paper (this is a common practice in many document binarization papers, such as "Two-Stage Generative Adversarial Networks for Document Image Binarization", "D2BFormer", "CT-Net").

rbbernardino commented 1 year ago

Oh, that's nice, I hope you share it soon. I'll try to experiment with your code.

Em ter., 3 de out. de 2023 às 19:42, Zongyuan Yang @.***> escreveu:

Thank you very much for your interest in my work and the possibility of citing my paper. I do have plans to release the pre-trained weights. In the meantime, you are welcome to directly reference the data from my paper (this is a common practice in many document binarization papers, such as "Two-Stage Generative Adversarial Networks for Document Image Binarization", "D2BFormer", "CT-Net").

— Reply to this email directly, view it on GitHub https://github.com/Royalvice/GDB/issues/3#issuecomment-1745839520, or unsubscribe https://github.com/notifications/unsubscribe-auth/AADJUK6PNQRTJOMLWICXKELX5SIG3AVCNFSM6AAAAAA5RSCOOWVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTONBVHAZTSNJSGA . You are receiving this because you authored the thread.Message ID: @.***>

-- Atenciosamente, Rodrigo Bernardino

00sapo commented 10 months ago

Hello, I'm also interested in using your work in a scientific project for document analysis. Having the pre-trained models would allow me to use and cite your method.

Best, f