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VTLayout: Fusion of Visual and Text Features for Document Layout Analysis

A document layout analysis model, VTLayout, based on the fusion of deep visual, shallow visual, and text features, is proposed to solve the low recognition rate of different document category blocks.

Data and Resources

Cite this as

Shoubin Li, Xuyan Ma, Shuaiqun Pan, Jun Hu, Lin Shi, Qing Wang (2024). Dataset: VTLayout: Fusion of Visual and Text Features for Document Layout Analysis. https://doi.org/10.57702/7inia1o2

DOI retrieved: December 16, 2024

Additional Info

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Created December 16, 2024
Last update December 16, 2024
Author Shoubin Li
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Xuyan Ma
Shuaiqun Pan
Jun Hu
Lin Shi
Qing Wang
Homepage https://arxiv.org/abs/1906.09541