Revisiting the Coco Panoptic Metric to Enable Visual and Qualitative Analysis of Historical Map Instance Segmentation-Reference-Cited by-同舟云学术

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Revisiting the Coco Panoptic Metric to Enable Visual and Qualitative Analysis of Historical Map Instance Segmentation

Published:2021 Issue: Volume: Page:367-382
ISSN:0302-9743
Container-title:Document Analysis and Recognition – ICDAR 2021
language:
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Author:

Chazalon Joseph^ORCID,Carlinet Edwin^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-86337-1_25

Reference20 articles.

1. Lecture Notes in Computer Science;J Angulo,2009

2. Arbelaez, P., Maire, M., Fowlkes, C., Malik, J.: Contour detection and hierarchical image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 33(5), 898–916 (2010)

3. Charpiat, G., Faugeras, O., Keriven, R., Maurel, P.: Distance-based shape statistics. In: IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, vol. 5, p. V (2006)

4. Chazalon, J., et al.: ICDAR 2021 competition on historical map segmentation. In: IEEE International Conference on Document Analysis and Recognition, September (2021, to appear). https://icdar21-mapseg.github.io/

5. Lecture Notes in Computer Science;Y Chen,2021

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automatic vectorization of historical maps: A benchmark;PLOS ONE;2024-02-15

2. How to Segment Handwritten Historical Chronicles Using Fully Convolutional Networks?;Lecture Notes in Computer Science;2022

3. ICDAR 2021 Competition on Historical Map Segmentation;Document Analysis and Recognition – ICDAR 2021;2021

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