arXiv:1806.08852
공식 코드 · Papers with Code
Multi-Task Handwritten Document Layout Analysis
원문 초록
Document Layout Analysis is a fundamental step in Handwritten Text Processing systems, from the extraction of the text lines to the type of zone it belongs to. We present a system based on artificial neural networks which is able to determine not only the baselines of text lines present in the document, but also performs geometric and logic layout analysis of the document. Experiments in three different datasets demonstrate the potential of the method and show competitive results with respect to state-of-the-art methods.
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Class-Agnostic Region-of-Interest Matching in Document Images
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PP-DocLayout: A Unified Document Layout Detection Model to Accelerate Large-Scale Data Construction
UniHDSA: A Unified Relation Prediction Approach for Hierarchical Document Structure Analysis
DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception
PdfTable: A Unified Toolkit for Deep Learning-Based Table Extraction
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