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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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主要な著者: Mahmoud SalahEldin Kasem, Mohamed Mahmoud, Bilel Yagoub, Mostafa Farouk Senussi, Mahmoud Abdalla, Hyun-Soo Kang
フォーマット: Artigo
言語:Inglês
出版事項: MDPI AG 2025-01-01
シリーズ:Mathematics
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オンライン・アクセス:https://www.mdpi.com/2227-7390/13/2/266
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