WikiDT: Visual-Based Table Recognition and Question Answering Dataset

Author:

Shi Hui,Xie Yusheng,Goncalves Luis,Gao Sicun,Zhao Jishen

Publisher

Springer Nature Switzerland

Reference47 articles.

1. Intelligent document processing market size and forecast. https://www.verifiedmarketresearch.com/product/intelligent-document-processing-market/. Accessed 30 Oct 2022

2. Biten, A.F., Litman, R., Xie, Y., Appalaraju, S., Manmatha, R.: LaTr: layout-aware transformer for scene-text VQA. In: CVPR 2022 (2022)

3. Biten, A.F., et al.: Scene text visual question answering. In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 4291–4301 (2019)

4. Borchmann, Ł., et al.: Due: end-to-end document understanding benchmark. In: Thirty-Fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2) (2021)

5. Brown, T., et al.: Language models are few-shot learners. In: Advances in Neural Information Processing Systems, vol. 33, pp. 1877–1901 (2020)

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