16 citations · 32 across the 15 of their papers we have counts for
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cs.LG2020★ 2 cited
OLALA: Object-Level Active Learning for Efficient Document Layout Annotation
Zejiang Shen, Jian Zhao, Melissa Dell +2
Document images often have intricate layout structures, with numerous content regions (e.g. texts, figures, tables) densely arranged on each page. This makes the manual annotation…
cs.CV2020★ 3 cited
A Large Dataset of Historical Japanese Documents with Complex Layouts
Zejiang Shen, Kaixuan Zhang, Melissa Dell
Deep learning-based approaches for automatic document layout analysis and content extraction have the potential to unlock rich information trapped in historical documents on a larg…