Table Extraction with Table Data Using VGG-19 Deep Learning Model

In recent years, significant progress has been achieved in understanding and processing tabular data. However, existing approaches often rely on task-specific features and model architectures, posing challenges in accurately extracting table structures amidst diverse layouts, styles, and noise conta...

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Bibliographic Details
Main Authors: Muhammad Zahid Iqbal, Nitish Garg, Saad Bin Ahmed
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/25/1/203
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