TransDocUNet: A Transformer-based UNet Architecture for Degraded Document Image Binarization-Reference-Cited by-同舟云学术

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TransDocUNet: A Transformer-based UNet Architecture for Degraded Document Image Binarization

Published:2023-12-15 Issue: Volume: Page:1-9
ISSN:
Container-title:Proceedings of the Fourteenth Indian Conference on Computer Vision, Graphics and Image Processing
language:
Short-container-title:

Author:

Biswas Risab¹^ORCID,Sarkhel Soumik¹^ORCID,Roy Swalpa Kumar²^ORCID,Pal Umapada³^ORCID

Affiliation:

1. Artificial Intelligence Group, Optiks Innovations Pvt. Ltd. (P360), India

2. Department of Computer Science and Engineering, Alipurduar Government Engineering and Management College, India

3. Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3627631.3627639

Reference57 articles.

1. ICDAR2017 Competition on Document Image Binarization (DIBCO 2017)

2. Document Image Binarization using LSTM: A Sequence Learning Approach

3. Blended Diffusion for Text-driven Editing of Natural Images

4. Pavel Vladimirovich Bezmaternykh, Dmitrii Alexeevich Ilin, and Dmitry Petrovich Nikolaev. 2019. U-Net-bin: hacking the document image binarization contest. 43, 5 (2019), 825–832.

5. Improving Document Binarization Via Adversarial Noise-Texture Augmentation

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