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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.

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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

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Additional Info

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