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TableBank: A Benchmark Dataset for Table Detection and Recognition

arXiv 1903.01949 ↗First posted 5 Mar 2019cs.CVcited by 102

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Abstract (arXiv)

We present TableBank, a new image-based table detection and recognition dataset built with novel weak supervision from Word and Latex documents on the internet. Existing research for image-based table detection and recognition usually fine-tunes pre-trained models on out-of-domain data with a few thousand human-labeled examples, which is difficult to generalize on real-world applications. With TableBank that contains 417K high quality labeled tables, we build several strong baselines using state-of-the-art models with deep neural networks. We make TableBank publicly available and hope it will empower more deep learning approaches in the table detection and recognition task. The dataset and models are available at urlhttps://github.com/doc-analysis/TableBank.

Key facts. Cited by 102 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Mar 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 21; 2022: 11; 2023: 13; 2024: 17; 2025: 30; 2026: 10.

102 papers.

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  1. 2022DiT: Self-supervised Pre-training for Document Image Transformercited by 152
  2. 2024OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotationscited by 144
  3. 2021PubTables-1M: Towards comprehensive table extraction from unstructured documentscited by 122
  4. 2021LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understandingcited by 103
  5. 2022Towards Complex Document Understanding By Discrete Reasoningcited by 82
  6. 2021LayoutReader: Pre-training of Text and Layout for Reading Order Detectioncited by 79
  7. 2025Detect Anything via Next Point Predictioncited by 66
  8. 2021Document AI: Benchmarks, Models and Applicationscited by 61
  9. 2021LayoutParser: A Unified Toolkit for Deep Learning Based Document Image Analysiscited by 58
  10. 2024Large Language Model for Table Processing: A Surveycited by 52
  11. 2021LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignmentcited by 46
  12. 2024Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extractioncited by 44
38 more
  1. 2022Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Taskscited by 42
  2. 2023Improving Table Structure Recognition with Visual-Alignment Sequential Coordinate Modelingcited by 41
  3. 2025Representation Learning for Tabular Data: A Comprehensive Surveycited by 36
  4. 2021Neural Collaborative Graph Machines for Table Structure Recognitioncited by 30
  5. 2022Robust Table Detection and Structure Recognition from Heterogeneous Document Imagescited by 30
  6. 2021TGRNet: A Table Graph Reconstruction Network for Table Structure Recognitioncited by 27
  7. 2022GriTS: Grid table similarity metric for table structure recognitioncited by 27
  8. 2022TSRFormer: Table Structure Recognition with Transformerscited by 27
  9. 2023A large-scale dataset for end-to-end table recognition in the wildcited by 24
  10. 2021Entity Relation Extraction as Dependency Parsing in Visually Rich Documentscited by 23
  11. 2025OmniParser V2: Structured-Points-of-Thought for Unified Visual Text Parsing and Its Generality to Multimodal Large Language Modelscited by 22
  12. 2023LORE: Logical Location Regression Network for Table Structure Recognitioncited by 19
  13. 2021Current Status and Performance Analysis of Table Recognition in Document Images with Deep Neural Networkscited by 18
  14. 2021Visual Understanding of Complex Table Structures from Document Imagescited by 17
  15. 2021Guided Table Structure Recognition through Anchor Optimizationcited by 15
  16. 2021TabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tablescited by 15
  17. 2023Aligning benchmark datasets for table structure recognitioncited by 15
  18. 2021TNCR: Table Net Detection and Classification Datasetcited by 14
  19. 2022Deep learning for table detection and structure recognition: A surveycited by 14
  20. 2025Multimodal Tabular Reasoning with Privileged Structured Informationcited by 14
  21. 2023SwinDocSegmenter: An End-to-End Unified Domain Adaptive Transformer for Document Instance Segmentationcited by 13
  22. 2023SEMv2: Table Separation Line Detection Based on Instance Segmentationcited by 12
  23. 2023Robust Table Structure Recognition with Dynamic Queries Enhanced Detection Transformercited by 12
  24. 2024UniTable: Towards a Unified Framework for Table Recognition via Self-Supervised Pretrainingcited by 12
  25. 2022Business Document Information Extraction: Towards Practical Benchmarkscited by 11
  26. 2025Benchmarking Multimodal LLMs on Recognition and Understanding over Chemical Tablescited by 10
  27. 2021Multi-Type-TD-TSR -- Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition: from OCR to Structured Table Representationscited by 9
  28. 2021ICDAR 2021 Competition on Scientific Table Image Recognition to LaTeXcited by 9
  29. 2024LAPDoc: Layout-Aware Prompting for Documentscited by 9
  30. 2025Finch: Benchmarking Finance & Accounting across Spreadsheet-Centric Enterprise Workflowscited by 9
  31. 2024LORE++: Logical Location Regression Network for Table Structure Recognition with Pre-trainingcited by 8
  32. 2022Tables to LaTeX: structure and content extraction from scientific tablescited by 7
  33. 2023WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Datacited by 7
  34. 2022Graph Neural Networks and Representation Embedding for Table Extraction in PDF Documentscited by 6
  35. 2023Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberationcited by 6
  36. 2023TRACE: Table Reconstruction Aligned to Corner and Edgescited by 6
  37. 2025arXiv2Table: Toward Realistic Benchmarking and Evaluation for LLM-Based Literature-Review Table Generationcited by 6
  38. 2025TableMoE: Neuro-Symbolic Routing for Structured Expert Reasoning in Multimodal Table Understandingcited by 6

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