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Analyzing the potential of active learning for document image classification

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Bibliographic Details
Main Authors: Saifullah, Saifullah, Stefan, Agne, Andreas, Dengel
Format: Book
Language:English
Published: Springer 2023
Subjects:
potential of active learning
Online Access:https://link.springer.com/article/10.1007/s10032-023-00429-8
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8348
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spelling oai:localhost:PNK-83482023-04-27T02:01:06Z Analyzing the potential of active learning for document image classification Saifullah, Saifullah Stefan, Agne Andreas, Dengel potential of active learning CC BY Deep learning has been extensively researched in the field of document analysis and has shown excellent performance across a wide range of document-related tasks. As a result, a great deal of emphasis is now being placed on its practical deployment and integration into modern industrial document processing pipelines. It is well known, however, that deep learning models are data-hungry and often require huge volumes of annotated data in order to achieve competitive performances. And since data annotation is a costly and labor-intensive process, it remains one of the major hurdles to their practical deployment. This study investigates the possibility of using active learning to reduce the costs of data annotation in the context of document image classification, which is one of the core components of modern document processing pipelines. 2023-04-27T02:01:06Z 2023-04-27T02:01:06Z 2023 Book https://link.springer.com/article/10.1007/s10032-023-00429-8 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8348 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic potential of active learning
spellingShingle potential of active learning
Saifullah, Saifullah
Stefan, Agne
Andreas, Dengel
Analyzing the potential of active learning for document image classification
description CC BY
format Book
author Saifullah, Saifullah
Stefan, Agne
Andreas, Dengel
author_facet Saifullah, Saifullah
Stefan, Agne
Andreas, Dengel
author_sort Saifullah, Saifullah
title Analyzing the potential of active learning for document image classification
title_short Analyzing the potential of active learning for document image classification
title_full Analyzing the potential of active learning for document image classification
title_fullStr Analyzing the potential of active learning for document image classification
title_full_unstemmed Analyzing the potential of active learning for document image classification
title_sort analyzing the potential of active learning for document image classification
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s10032-023-00429-8
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8348
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score 8.881002

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