HTTD: A Hierarchical Transformer for Accurate Table Detection in Document Images

HTTD: A Hierarchical Transformer for Accurate Table Detection in Document Images

Table detection in document images is a challenging problem due to diverse layouts, irregular structures, and embedded graphical elements. In this study, we present HTTD (Hierarchical Transformer for Table Detection), a cutting-edge model that combines a Swin-L Transformer backbone with advanced Tra...

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Bibliographic Details
Main Authors: Mahmoud SalahEldin Kasem, Mohamed Mahmoud, Bilel Yagoub, Mostafa Farouk Senussi, Mahmoud Abdalla, Hyun-Soo Kang
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Mathematics
Subjects:
table detection
vision transformer
document processing
multiscale feature extraction
deformable attention
document image analysis
Online Access:https://www.mdpi.com/2227-7390/13/2/266
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