ICDAR 2021 Competition on Components Segmentation Task of Document Photos-Reference-Cited by-同舟云学术

ICDAR 2021 Competition on Components Segmentation Task of Document Photos

Published:2021 Issue: Volume: Page:678-692
ISSN:0302-9743
Container-title:Document Analysis and Recognition – ICDAR 2021
language:
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Author:

Lopes Junior Celso A. M.^ORCID,das Neves Junior Ricardo B.^ORCID,Bezerra Byron L. D.^ORCID,Toselli Alejandro H.^ORCID,Impedovo Donato^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-86337-1_45

Reference42 articles.

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3. Cai, Z., Vasconcelos, N.: Cascade R-CNN: high quality object detection and instance segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 43(5), 1483–1498 (2021). https://doi.org/10.1109/TPAMI.2019.2956516

4. Chen, L.C., Papandreou, G., Kokkinos, I., Murphy, K., Yuille, A.L.: Deeplab: semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs. IEEE Trans. Pattern Anal. Mach. Intell. 40(4), 834–848 (2017)

5. Chen, L.C., Papandreou, G., Schroff, F., Adam, H.: Rethinking atrous convolution for semantic image segmentation. arXiv preprint arXiv:1706.05587 (2017)

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