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Titlebook: Document Analysis and Recognition - ICDAR 2024; 18th International C Elisa H. Barney Smith,Marcus Liwicki,Liangrui Peng Conference proceedi

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21#
發(fā)表于 2025-3-25 04:55:33 | 只看該作者
Conference proceedings 2024ndwriting recognition; document analysis systems; document classification; indexing and retrieval of documents; document synthesis; extracting document semantics; NLP for document understanding; office automation; graphics recognition; human document interaction; document representation modeling and much more...?.
22#
發(fā)表于 2025-3-25 09:06:53 | 只看該作者
Conference proceedings 20244, held in Athens, Greece, during August 30–September 4, 2024..The total of 144 full papers presented in these proceedings were carefully selected from 263 submissions..The papers reflect topics such as: document image processing; physical and logical layout analysis; text and symbol recognition; ha
23#
發(fā)表于 2025-3-25 12:09:29 | 只看該作者
24#
發(fā)表于 2025-3-25 18:33:15 | 只看該作者
https://doi.org/10.1007/978-3-031-70546-5Document Analysis Systems; Handwriting Recognition; Scene Text Detection and Recognition; Document Imag
25#
發(fā)表于 2025-3-26 00:02:07 | 只看該作者
978-3-031-70545-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
26#
發(fā)表于 2025-3-26 01:30:13 | 只看該作者
27#
發(fā)表于 2025-3-26 06:52:18 | 只看該作者
28#
發(fā)表于 2025-3-26 10:57:36 | 只看該作者
29#
發(fā)表于 2025-3-26 12:59:08 | 只看該作者
https://doi.org/10.1007/978-94-009-6300-9various elements within document images, such as text, images, tables, and headings. The approach employs an advanced Transformer-based object detection network as an innovative graphical page object detector for identifying tables, figures, and displayed elements. We introduce a query encoding mech
30#
發(fā)表于 2025-3-26 19:57:47 | 只看該作者
Gerlinde Strohmaier-Wiederandersument summarization, knowledge extraction, etc. However, previous studies have typically used separate models to address individual sub-tasks within DLA, including table/figure detection, text region detection, logical role classification, and reading order prediction. In this work, we propose an en
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