Evaluation of Feature-Embedding Methods for Word Spotting in Historical Arabic Documents-Reference-Cited by-同舟云学术

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Evaluation of Feature-Embedding Methods for Word Spotting in Historical Arabic Documents

Published:2020-07-20 Issue: Volume: Page:
ISSN:
Container-title:2020 17th International Multi-Conference on Systems, Signals & Devices (SSD)
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Author:

Fathallah Abir¹,Khedher Mohamed Ibn²,El-Yacoubi Mounim A.¹,Ben Amara Najoua Essoukri³

Affiliation:

1. Samovar CNRS, Télécom SudParis, Institut Polytechnique de Paris,Evry Cedex,France,91011

2. IRT - SystemX,Plaiseau,France,91120

3. Université de Sousse,Ecole Nationale d'Ingénieurs de Sousse, LATIS- Laboratory of Advanced Technology and Intelligent Systems,Sousse,Tunisie,4023

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9364013/9364077/09364134.pdf?arnumber=9364134

Cited by 2 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. A Transformer-based Siamese Network For Word Image Retrieval In Historical Documents;2023 IEEE Smart World Congress (SWC);2023-08-28

2. Triplet Vision Transformer for Word Image Retrieval in Historical Arabic Documents;2023

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