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Found 2 papers, 2 papers with code
Combining Visual and Textual Features for Semantic Segmentation of Historical Newspapers
The massive amounts of digitized historical documents acquired over the last decades naturally lend themselves to automatic processing and exploration.
dhSegment: A generic deep-learning approach for document segmentation
In recent years there have been multiple successful attempts tackling document processing problems separately by designing task specific hand-tuned strategies.
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