MFRCNN: Marshalled FRCNN with optimized reading order in XY tree for document layout analysis in sci...
MFRCNN: Marshalled FRCNN with optimized reading order in XY tree for document layout analysis in scientific research articles
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Publisher
Amsterdam: IOS Press BV
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Language
English
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Publisher
Amsterdam: IOS Press BV
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Contents
Recently computer vision and NLP based techniques have been employed for document layout analysis where different types of elements in the document and their relative position are identified. This process is trickier as there are blocks which are structurally similar but semantically different such as title, text etc. This works attempts to use reg...
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Full title
MFRCNN: Marshalled FRCNN with optimized reading order in XY tree for document layout analysis in scientific research articles
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TN_cdi_proquest_journals_2771065599
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2771065599
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ISSN
1064-1246
E-ISSN
1875-8967
DOI
10.3233/JIFS-220705
