TableStructureFormer: an improved masked-attention mask transformer model with long-distance feature aggregation and deep detail supervision for table structure recognition
Abstract Table structure recognition, as the most important subtask in image-based table recognition, recognizes the logical relationship between adjacent cells and represents the structured essence of the table. However, in reality, tables often appear in many different styles, such as those contai...
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| Hlavní autoři: | , , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Springer
2025-06-01
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| Edice: | Complex & Intelligent Systems |
| Témata: | |
| On-line přístup: | https://doi.org/10.1007/s40747-025-01975-w |
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