TransTab: A transformer-based approach for table detection and tabular data extraction from scanned document images

TransTab: A transformer-based approach for table detection and tabular data extraction from scanned document images

Table detection and content extraction are crucial tasks in document analysis. Traditional convolutional neural network (CNN) methods often face limitations when dealing with complex tables, such as cross-column, cross-row, and multi-dimensional tables. Although existing methods have shown good perf...

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Bibliographic Details
Main Authors: Yongzhou Wang, Wenliang Lv, Weijie Wu, Guanheng Xie, BiBo Lu, ChunYang Wang, Chao Zhan, Baishun Su
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Machine Learning with Applications
Subjects:
Deep learning
Table detection
Attention mechanisms
Convolutional neural networks(CNNs)
Transformer
OCR
Online Access:http://www.sciencedirect.com/science/article/pii/S2666827025000489
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