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Table Extraction

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Table extraction involves detecting and recognizing a table's logical structure and content from its unstructured presentation within a document

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/Irene323/GFTE

공식 코드

GFTE: Graph-based Financial Table Extraction

https://github.com/SampannaKahu/ScanBank

공식 코드

ScanBank: A Benchmark Dataset for Figure Extraction from Scanned Electronic Theses and Dissertations

https://github.com/abdoelsayed2016/table-detection-structure-recognition

공식 코드

Deep learning for table detection and structure recognition: A survey

https://github.com/ailab-unifi/cte-dataset

공식 코드

CTE: A Dataset for Contextualized Table Extraction

https://github.com/ailab-unifi/gnn-tableextraction

공식 코드

Graph Neural Networks and Representation Embedding for Table Extraction in PDF Documents

https://github.com/bflashcp3f/schema-to-json

공식 코드

Schema-Driven Information Extraction from Heterogeneous Tables

https://github.com/cycloneboy/pdf_table

공식 코드

PdfTable: A Unified Toolkit for Deep Learning-Based Table Extraction

https://github.com/eliottthomas99/data_quest

공식 코드

QUEST: Quality-aware Semi-supervised Table Extraction for Business Documents

https://github.com/ethanbradley/synfintabgen

공식 코드

SynFinTabs: A Dataset of Synthetic Financial Tables for Information and Table Extraction

https://github.com/m3rg-iitd/discomat

공식 코드

DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles

https://github.com/microsoft/table-transformer

공식 코드

PubTables-1M: Towards comprehensive table extraction from unstructured documents

https://github.com/mnamysl/table-interpretation

공식 코드

Flexible Table Recognition and Semantic Interpretation System

https://github.com/nikhilsab/h-star

공식 코드

H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on Tables

https://github.com/sangwu99/simplot

공식 코드

SIMPLOT: Enhancing Chart Question Answering by Distilling Essentials

https://github.com/RajArPatra/Super-OCR

TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images

https://github.com/abdoelsayed2016/TNCR_Dataset

Deep learning for table detection and structure recognition: A survey

https://github.com/abdoelsayed2016/tncr

Deep learning for table detection and structure recognition: A survey

https://github.com/asagar60/TableNet-pytorch

TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images

https://github.com/green93/TableNet-Deep-Learning-model-for-Tabular-Data-Extraction-from-Scanned-Document-Image

TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images

https://github.com/phamquiluan/table-transformer

PubTables-1M: Towards comprehensive table extraction from unstructured documents

https://github.com/shrikumaran/ABInBev-Hackathon

TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images

https://github.com/tomassosorio/OCR_tablenet

TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images

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