GridFormer: Towards Accurate Table Structure Recognition via Grid Prediction-Reference-Cited by-同舟云学术

GridFormer: Towards Accurate Table Structure Recognition via Grid Prediction

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
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Author:

Lyu Pengyuan¹^ORCID,Ma Weihong¹^ORCID,Wang Hongyi²^ORCID,Yu Yuechen¹^ORCID,Zhang Chengquan¹^ORCID,Yao Kun³^ORCID,Xue Yang²^ORCID,Wang Jingdong³^ORCID

Affiliation:

1. VIS, Baidu Inc., Shenzhen, China

2. South China University of Technology, Guangzhou, China

3. VIS, Baidu Inc., Beijing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3611961

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3. TAL Contributors. 2021. TAL_OCR_TABLE: A Scene Table Structure Recognition Benchmark. https://ai.100tal.com/dataset. TAL Contributors. 2021. TAL_OCR_TABLE: A Scene Table Structure Recognition Benchmark. https://ai.100tal.com/dataset.

4. Lei Cui , Yiheng Xu , Tengchao Lv , and Furu Wei . 2021. Document ai: Benchmarks, models and applications. CoRR ( 2021 ). Lei Cui, Yiheng Xu, Tengchao Lv, and Furu Wei. 2021. Document ai: Benchmarks, models and applications. CoRR (2021).

5. Yuntian Deng , David Rosenberg , and Gideon Mann . 2019. Challenges in end-to-end neural scientific table recognition . In ICDAR. IEEE , 894--901. Yuntian Deng, David Rosenberg, and Gideon Mann. 2019. Challenges in end-to-end neural scientific table recognition. In ICDAR. IEEE, 894--901.

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