BaDLAD: A Large Multi-Domain Bengali Document Layout Analysis Dataset-Reference-Cited by-同舟云学术

BaDLAD: A Large Multi-Domain Bengali Document Layout Analysis Dataset

Published:2023 Issue: Volume: Page:326-341
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
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Author:

Shihab Md. Istiak Hossain,Hasan Md. Rakibul,Emon Mahfuzur Rahman,Hossen Syed Mobassir,Ansary Md. Nazmuddoha,Ahmed Intesur,Rakib Fazle Rabbi,Dhruvo Shahriar Elahi,Dip Souhardya Saha,Pavel Akib Hasan,Meghla Marsia Haque,Haque Md. Rezwanul,Chowdhury Sayma Sultana,Sadeque Farig,Reasat Tahsin,Humayun Ahmed Imtiaz,Sushmit Asif

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-41676-7_19

Reference20 articles.

1. Communications in Computer and Information Science;R Ahmad,2016

2. Lecture Notes in Computer Science;S Alam,2021

3. Augusto Borges Oliveira, D., Palhares Viana, M.: Fast CNN-based document layout analysis. In: Proceedings of the IEEE International Conference on Computer Vision Workshops, pp. 1173–1180 (2017)

4. Binmakhashen, G.M., Mahmoud, S.A.: Document layout analysis: a comprehensive survey. ACM Comput. Surv. (CSUR) 52(6), 1–36 (2019)

5. Lecture Notes in Computer Science;N Carion,2020

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