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Ground Truth for Layout Analysis Performance Evaluation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/cviu.1998.0691openalex-snapshot
Page Segmentation Using the Description of the Background
inferredcites →https://doi.org/10.1007/3-540-45869-7_27openalex-snapshot
A Ground-Truthing Tool for Layout Analysis Performance Evaluation
inferredcites →https://doi.org/10.1109/icdar.1995.602119openalex-snapshot
Representation and classification of complex-shaped printed regions using white tiles
inferredcites →https://doi.org/10.1109/icdar.1999.791822openalex-snapshot
Methodology for flexible and efficient analysis of the performance of page segmentation algorithms
inferredcites →https://doi.org/10.1109/icdar.2003.1227750openalex-snapshot
ICDAR 2003 page segmentation competition
inferredcites →https://doi.org/10.1109/icdar.2005.184openalex-snapshot
ICDAR2005 page segmentation competition
inferredcites →https://doi.org/10.1109/icdar.2009.275openalex-snapshot
ICDAR 2009 Page Segmentation Competition
inferredcites →https://doi.org/10.1145/958220.958247openalex-snapshot
A ground-truthing engine for proofsetting, publishing, re-purposing and quality assurance
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Multimodal Corpus‐Based Approaches
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Datasets and Annotations for Document Analysis and Recognition
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Tools and Metrics for Document Analysis Systems Evaluation
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Performance Evaluation of Symbol Spotting Systems
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PARDA: A Dataset for Scholarly PDF Document Metadata Extraction Evaluation
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Computing Precision and Recall with Missing or Uncertain Ground Truth
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A performance evaluation protocol for symbol spotting systems in terms of recognition and location indices
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Generation of synthetic documents for performance evaluation of symbol recognition & spotting systems
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Relational indexing of vectorial primitives for symbol spotting in line-drawing images
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Deep Learning-Based Detection of One and Two-Column Textual Blocks in Camera-Captured Pashto Documents Images
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Truthing for Pixel-Accurate Segmentation
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Performance Evaluation of Symbol Recognition and Spotting Systems: An Overview
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The Robust Reading Competition Annotation and Evaluation Platform
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Google Book Search: Document Understanding on a Massive Scale
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Performance Analysis Framework for Layout Analysis Methods
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Automatic Ground-truth Generation for Document Image Analysis and Understanding
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A Realistic Dataset for Performance Evaluation of Document Layout Analysis
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On-the-fly Historical Handwritten Text Annotation
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Automatic Annotation for Handwritten Historical Documents Using Markov Models
inferred← citeshttps://doi.org/10.1109/icpr.2008.4761541openalex-snapshot
A geometric approach for accurate and efficient performance evaluation of layout analysis methods
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Document Segmentation Using Pixel-Accurate Ground Truth
inferred← citeshttps://doi.org/10.1109/isspa.2012.6310655openalex-snapshot
New evaluation framework for metadata mapping approaches based on Markov models
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Performance Evaluation and Benchmarking of Six-Page Segmentation Algorithms
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Classification of Papulo‐Squamous skin diseases using image analysis
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An experimental workflow development platform for historical document digitisation and analysis
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Image Retrieval Evaluation Metric for Songket Motif
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Génération d'images semi-synthétiques de documents anciens.
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Pashto script and graphics detection in camera captured Pashto document images using deep learning model
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