mlsanityData to 7 Oct 2026

Complicated Table Structure Recognition

arXiv 1908.04729 ↗First posted 13 Aug 2019cs.IR cs.LGcited by 91

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Abstract (arXiv)

The task of table structure recognition aims to recognize the internal structure of a table, which is a key step to make machines understand tables. Currently, there are lots of studies on this task for different file formats such as ASCII text and HTML. It also attracts lots of attention to recognize the table structures in PDF files. However, it is hard for the existing methods to accurately recognize the structure of complicated tables in PDF files. The complicated tables contain spanning cells which occupy at least two columns or rows. To address the issue, we propose a novel graph neural network for recognizing the table structure in PDF files, named GraphTSR. Specifically, it takes table cells as input, and then recognizes the table structures by predicting relations among cells. Moreover, to evaluate the task better, we construct a large-scale table structure recognition dataset from scientific papers, named SciTSR, which contains 15,000 tables from PDF files and their corresponding structure labels. Extensive experiments demonstrate that our proposed model is highly effective for complicated tables and outperforms state-of-the-art baselines over a benchmark dataset and our new constructed dataset.

Key facts. Cited by 91 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Aug 2019.

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Citing papers per year: 2021: 11; 2022: 13; 2023: 16; 2024: 15; 2025: 21; 2026: 15.

91 papers.

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  1. 2024Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scalingcited by 1,573
  2. 2021PubTables-1M: Towards comprehensive table extraction from unstructured documentscited by 122
  3. 2021BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documentscited by 104
  4. 2022TableFormer: Table Structure Understanding with Transformerscited by 93
  5. 2024TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergycited by 70
  6. 2021LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignmentcited by 46
  7. 2023Exploring OCR Capabilities of GPT-4V(ision) : A Quantitative and In-depth Evaluationcited by 46
  8. 2024Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extractioncited by 44
  9. 2021Parsing Table Structures in the Wildcited by 43
  10. 2021Split, embed and merge: An accurate table structure recognizercited by 42
  11. 2022Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Taskscited by 42
  12. 2023Improving Table Structure Recognition with Visual-Alignment Sequential Coordinate Modelingcited by 41
38 more
  1. 2023Optimized Table Tokenization for Table Structure Recognitioncited by 34
  2. 2021Neural Collaborative Graph Machines for Table Structure Recognitioncited by 30
  3. 2022Robust Table Detection and Structure Recognition from Heterogeneous Document Imagescited by 30
  4. 2021TGRNet: A Table Graph Reconstruction Network for Table Structure Recognitioncited by 27
  5. 2022TSRFormer: Table Structure Recognition with Transformerscited by 27
  6. 2024PVC: Progressive Visual Token Compression for Unified Image and Video Processing in Large Vision-Language Modelscited by 25
  7. 2023A large-scale dataset for end-to-end table recognition in the wildcited by 24
  8. 2025OmniParser V2: Structured-Points-of-Thought for Unified Visual Text Parsing and Its Generality to Multimodal Large Language Modelscited by 22
  9. 2022TRUST: An Accurate and End-to-End Table structure Recognizer Using Splitting-based Transformerscited by 19
  10. 2023LORE: Logical Location Regression Network for Table Structure Recognitioncited by 19
  11. 2021Current Status and Performance Analysis of Table Recognition in Document Images with Deep Neural Networkscited by 18
  12. 2021Visual Understanding of Complex Table Structures from Document Imagescited by 17
  13. 2021Guided Table Structure Recognition through Anchor Optimizationcited by 15
  14. 2021TabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tablescited by 15
  15. 2023Aligning benchmark datasets for table structure recognitioncited by 15
  16. 2022Deep learning for table detection and structure recognition: A surveycited by 14
  17. 2023GridFormer: Towards Accurate Table Structure Recognition via Grid Predictioncited by 13
  18. 2023SEMv2: Table Separation Line Detection Based on Instance Segmentationcited by 12
  19. 2023Robust Table Structure Recognition with Dynamic Queries Enhanced Detection Transformercited by 12
  20. 2024Visually Guided Generative Text-Layout Pre-training for Document Intelligencecited by 12
  21. 2022Relational Representation Learning in Visually-Rich Documentscited by 11
  22. 2024UniTabNet: Bridging Vision and Language Models for Enhanced Table Structure Recognitioncited by 11
  23. 2024HoVLE: Unleashing the Power of Monolithic Vision-Language Models with Holistic Vision-Language Embeddingcited by 10
  24. 2025Benchmarking Multimodal LLMs on Recognition and Understanding over Chemical Tablescited by 10
  25. 2024Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasonercited by 9
  26. 2024LORE++: Logical Location Regression Network for Table Structure Recognition with Pre-trainingcited by 8
  27. 2022Tables to LaTeX: structure and content extraction from scientific tablescited by 7
  28. 2024SEMv3: A Fast and Robust Approach to Table Separation Line Detectioncited by 7
  29. 2025Table2LaTeX-RL: High-Fidelity LaTeX Code Generation from Table Images via Reinforced Multimodal Language Modelscited by 7
  30. 2022Table Structure Recognition with Conditional Attentioncited by 6
  31. 2023Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberationcited by 6
  32. 2023TRACE: Table Reconstruction Aligned to Corner and Edgescited by 6
  33. 2025SPRINT: Script-agnostic Structure Recognition in Tablescited by 6
  34. 2025AECBench: A Hierarchical Benchmark for Knowledge Evaluation of Large Language Models in the AEC Fieldcited by 6
  35. 2024SynFinTabs: A Dataset of Synthetic Financial Tables for Information and Table Extractioncited by 4
  36. 2025DocSAM: Unified Document Image Segmentation via Query Decomposition and Heterogeneous Mixed Learningcited by 4
  37. 2025CoMemo: LVLMs Need Image Context with Image Memorycited by 4
  38. 2025AndesVL Technical Report: An Efficient Mobile-side Multimodal Large Language Modelcited by 4

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