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TITLE = "ICPR 2022: Challenge on Harvesting Raw Tables from Infographics
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BOOKTITLE = "ICPR22",
YEAR = "2022",
PAGES = "4995-5001",
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BOOKTITLE = CHART20,
YEAR = "2020",
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BOOKTITLE = CHART20,
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BOOKTITLE = PATRECH20,
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TITLE = "Image-Based Table Recognition: Data, Model, and Evaluation",
BOOKTITLE = ECCV20,
YEAR = "2020",
PAGES = "XXI:564-580",
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TITLE = "Table Structure Recognition Using Top-down and Bottom-up Cues",
BOOKTITLE = ECCV20,
YEAR = "2020",
PAGES = "XXVIII:70-86",
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structure recognition from image-based documents",
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TITLE = "A Saliency-Based Convolutional Neural Network for Table and Chart
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BOOKTITLE = CIAP19,
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TITLE = "Straight Line Reconstruction for Fully Materialized Table Extraction in
Degraded Document Images",
BOOKTITLE = DGCI19,
YEAR = "2019",
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TITLE = "Table Detection from Slide Images",
BOOKTITLE = PSIVT15,
YEAR = "2015",
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BOOKTITLE = ICDAR15,
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AUTHOR = "Kasar, T. and Bhowmik, T.K. and Belaid, A.",
TITLE = "Table information extraction and structure recognition using query
patterns",
BOOKTITLE = ICDAR15,
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BOOKTITLE = ICDAR13,
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TITLE = "Transforming Web Tables to a Relational Database",
BOOKTITLE = ICPR14,
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TITLE = "Segmenting Tables via Indexing of Value Cells by Table Headers",
BOOKTITLE = ICDAR13,
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TITLE = "Finding Critical Cells in Web Tables with SRL:
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Seperators and Tabular Structures",
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AUTHOR = "Alrashed, S.A.",
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YEAR = "2006",
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BIBSOURCE = "http://www.visionbib.com/bibliography/char969.html#TT352707"}
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