The Benefits of Close-Domain Fine-Tuning for Table Detection in Document Images-Reference-Cited by-同舟云学术

The Benefits of Close-Domain Fine-Tuning for Table Detection in Document Images

Published:2020 Issue: Volume: Page:199-215
ISSN:0302-9743
Container-title:Document Analysis Systems
language:
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Author:

Casado-García Ángela,Domínguez César^ORCID,Heras Jónathan^ORCID,Mata Eloy^ORCID,Pascual Vico^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-57058-3_15

Reference38 articles.

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3. Cesari, F., et al.: Trainable table location in document images. In: 16th International Conference on Pattern Recognition, ICPR 2002, vol. 3, p. 30236. ACM (2002)

4. Chen, T., et al.: MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems. CoRR abs/1512.01274 (2015). http://arxiv.org/abs/1512.01274

5. Colaboratory team: Google colaboratory (2017). https://colab.research.google.com

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