arXiv:2310.01206
공식 코드 · Papers with Code
appjsonify: An Academic Paper PDF-to-JSON Conversion Toolkit
원문 초록
We present appjsonify, a Python-based PDF-to-JSON conversion toolkit for academic papers. It parses a PDF file using several visual-based document layout analysis models and rule-based text processing approaches. appjsonify is a flexible tool that allows users to easily configure the processing pipeline to handle a specific format of a paper they wish to process. We are publicly releasing appjsonify as an easy-to-install toolkit available via PyPI and GitHub.
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Class-Agnostic Region-of-Interest Matching in Document Images
SFDLA: Source-Free Document Layout Analysis
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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