Deformable deep networks for instance segmentation of overlapping multi page handwritten documents
Author:
Affiliation:
1. IIIT Hyderabad, Hyderabad, INDIA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3490035.3490278
Reference31 articles.
1. Madhav Agarwal Ajoy Mondal and C. V. Jawahar. 2020. CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images. CoRR abs/2008.10831 (2020). arXiv:2008.10831 https://arxiv.org/abs/2008.10831 Madhav Agarwal Ajoy Mondal and C. V. Jawahar. 2020. CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images. CoRR abs/2008.10831 (2020). arXiv:2008.10831 https://arxiv.org/abs/2008.10831
2. Layout Analysis on Challenging Historical Arabic Manuscripts using Siamese Network
3. Labeling, Cutting, Grouping: An Efficient Text Line Segmentation Method for Medieval Manuscripts
4. Combining Visual and Textual Features for Semantic Segmentation of Historical Newspapers
5. Layout Analysis for Arabic Historical Document Images Using Machine Learning
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