Automatic Identification of Table Contents in Electronic Component Specifications of EDA

Author:

Hong Tzung-Pei,Xu Yi-Zhen,Huang Shi-feng,Chen Yi-Ting,Lee Ming-Han

Publisher

Springer Nature Singapore

Reference11 articles.

1. Gadpal, D.A., Kapadni, K., Visave, M., Sultanpure, K.A.: CascadeTabNet: an approach for end to end table detection and structure recognition from image-based documents. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 2439–2447 (2020)

2. Wang, J., et al.: Deep high-resolution representation learning for visual recognition. IEEE Trans. Pattern Anal. Mach. Intell. 43(10), 3349–3364 (2020)

3. Schreiber, S., Agne, S., Wolf, I., Dengel, A., Ahmed, S.: DeepDeSRT: deep learning for detection and structure recognition of tables in document images. In: IAPR 14th International Conference on Document Analysis and Recognition, pp. 1162–1167 (2017)

4. Luong, M.T., Nguyen, T.D., Kan, M.Y.: Logical structure recovery in scholarly articles with rich document features. Int. J. Digital Libr. Syst. 1(4), 1–23 (2010)

5. Kern, R., Jack, K., Hristakeva, M., Granitzer, M.: TeamBeam - meta-data extraction from scientific literature. D-Lib Mag. 18(7), 1–11 (2012)

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