136 citations · 172 across the 2 of their papers we have counts for
2 papers
cs.CV2020★ 36 cited
Combining Visual and Textual Features for Semantic Segmentation of Historical Newspapers
Raphaël Barman, Maud Ehrmann, Simon Clematide +2
The massive amounts of digitized historical documents acquired over the last decades naturally lend themselves to automatic processing and exploration. Research work seeking to aut…
cs.CV2018★ 136 cited
dhSegment: A generic deep-learning approach for document segmentation
Sofia Ares Oliveira, Benoit Seguin, Frederic Kaplan
In recent years there have been multiple successful attempts tackling document processing problems separately by designing task specific hand-tuned strategies. We argue that the di…