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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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Machine Learning with Applications |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666827025000489 |
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