A curated list of resources on Table Structure Recognition
38
23 commits
updated Jul 31, 2025
README
curated-table-structure-recognition
This repository provides a curated list of resources in the research domain of Table Structure Recognition (TSR), updated in my free time.
Methods based on heuristic rules are not included.
Keywords
"Table Structure Recognition" OR "Table Recognition"
Table of Contents
- Survey / Competition
- Methodology
- 2.1 Top-Down
- 2.2 Bottom-Up
- 2.2.1 Cell based / Grid based
- 2.2.2 Word based / Text-Line based
- 2.3 Image-to-Sequence / End-to-End
- Data
- 3.1 Dataset
- 3.2 Data Synthesis / Data Generation / Data Augmentation
- 3.3 Data Representation
- Metric
1. Survey / Competition
- A survey for table recognition based on deep learning, (Xidian), 2024-10, Neurocomputing.2024
- From Detection to Application: Recent Advances in Understanding Scientific Tables and Figures, (WHU, UNT), 2024-06, ACM-Computing-Surveys.2024
- A Review On Table Recognition Based On Deep Learning, (HKUST, Pacific), 2023-12, arXiv
- A Study on Reproducibility and Replicability of Table Structure Recognition Methods, (ODU, PSU), 2023-04, ICDAR-2023
- Deep learning for table detection and structure recognition: A survey, (AUN, IITU, KazMunayGas, Satbayev, ITI, CBNU), 2022-11, ACM-Computing-Surveys.2024
- A survey on table recognition technology, (PKU, Huawei, SCUT), 2022-06, JIG.2022
- ICDAR 2021 Competition on Scientific Table Image Recognition to LaTeX, (IIT Gandhinagar), 2021-09, ICDAR-2021
- ICDAR 2021 Competition on Scientific Literature Parsing, (IBM, UniMelb, Oracle), 2021-06, ICDAR-2021
- Current Status and Performance Analysis of Table Recognition in Document Images with Deep Neural Networks, (DFKI, TU Kaiserslautern, LTU, Bilojix), 2021-04, IEEE-Access.2021
- ICDAR 2019 Competition on Table Detection and Recognition (cTDaR), (PKU, Naver, Founder Group, TU Wien, Bistum Passau), 2019-09, ICDAR-2019
2. Methodology
2.1 Top-Down
SepFormerSepFormer: Coarse-to-fine Separator Regression Network for Table Structure Recognition, (Viettel Group, HCMUT), 2025-06, ICDAR-2025TABLETTABLET: Table Structure Recognition using Encoder-only Transformers, (iWudao Tech), 2025-06, ICDAR-2025TabSniperTabSniper: Towards Accurate Table Detection & Structure Recognition for Bank Statements, (American Express), 2024-12, CODS-COMAD-2024RTSRRTSR: A Real-Time Table Structure Recognition Approach, (Viettel Group, HCMUT), 2024-10, ECAI-2024RCAM-TransformerRCAM-Transformer: A Novel Approach to Table Reconstruction Using Row-Column Attention Mechanism, (Foxit), 2024-09, DAS-2024DTSMDTSM: Toward Dense Table Structure Recognition with Text Query Encoder and Adjacent Feature Aggregator, (SCUT), 2024-09, ICDAR-2024CRCRNetCRCRNet: An Integrated Approach to Table Data Extraction, (Jiangsu Frontier Electric Technology), 2024-08, CNCIT-2024SEMv3SEMv3: A Fast and Robust Approach to Table Separation Line Detection, (USTC, iFLYTEK), 2024-05, IJCAI-2024TSRDetRethinking Detection Based Table Structure Recognition for Visually Rich Document Images, (uOttawa, Lytica), 2023-12, Expert-Systems-with-Applications.2025TableStrRecTableStrRec: framework for table structure recognition in data sheet images, (uOttawa, Gnowit, Lytica), 2023-09, IJDAR.2023DRCCDivide Rows and Conquer Cells: Towards Structure Recognition for Large Tables, (CAS, UCAS, Hikvision, CUC), 2023-08, IJCAI-2023FormergeFormerge: Recover spanning cells in complex table structure using transformer network, (VTCC, HCMUT), 2023-08, ICDAR-2023PyramidTabNetPyramidTabNet: Transformer based Table Recognition in Image-based Documents, (NUST, NCAI), 2023-08, ICDAR-2023TRACETRACE: Table Reconstruction Aligned to Corner and Edges, (Naver, Works Mobile, Upstage, Kakao), 2023-05, ICDAR-2023TSRFormer(DQ-DETR)Robust Table Structure Recognition with Dynamic Queries Enhanced Detection Transformer, (USTC, Microsoft, SJTU, Alibaba), 2023-03, Pattern-Recognition.2023GrabTabGrab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation, (Tencent), 2023-03, AAAI-2024SEMv2SEMv2: Table Separation Line Detection Based on Conditional Convolution, (USTC, iFLYTEK), 2023-03, Pattern-Recognition.2024LRCAANetTable Structure Recognition Method Based on Lightweight Network and Channel Attention, (QDU), 2023-01, Electronics.2023- Table Structure Recognition Based on Grid Shape Graph, (SNU, LG, Ajou), 2022-11, APSIPAASC-2022
- Efficient Information Sharing in ICT Supply Chain Social Network via Table Structure Recognition, (uOttawa, Lytica), 2022-11, GLOBECOM-2022
TRUSTTRUST: An Accurate and End-to-End Table structure Recognizer Using Splitting-based Transformers, (Baidu, DUT), 2022-08, arXivTSRFormerTSRFormer: Table Structure Recognition with Transformers, (Microsoft, UCAS, USTC, SJTU), 2022-08, ACM-MM-2022- A Structure-Focused Deep Learning Approach for Table Recognition from Document Images, (OSU), 2022-06, COMPSAC-2022
DeTableDeTable: Table data extraction model based on deep, (BUAA), 2022-05, ICNCC-2021RCANetRCANet: A Rows and Columns Aggregated Network for Table Structure Recognition, (JIT, NJUPT), 2022-05, ICTC-2022RobusTabNetRobust Table Detection and Structure Recognition from Heterogeneous Document Images, (USTC, Microsoft), 2022-03, Pattern-Recognition.2023TATRPubTables-1M: Towards comprehensive table extraction from unstructured documents, (Microsoft), 2021-10, CVPR-2022CoDecTable Structure Recognition Using CoDec Encoder-Decoder, (Mastercard), 2021-09, ICDAR-Workshop-2021- Rethinking Table Structure Recognition Using Sequence Labeling Methods, (PKU, Huawei), 2021-09, ICDAR-2021
SEMSplit, Embed and Merge: An accurate table structure recognizer, (USTC, iFLYTEK), 2021-07, Pattern-Recognition.2022TGRNetTGRNet: A Table Graph Reconstruction Network for Table Structure Recognition, (BJTU, Sydney, JD), 2021-06, ICCV-2021- Guided Table Structure Recognition through Anchor Optimization, (DFKI, TU Kaiserslautern, LTU, Bilojix), 2021-04, IEEE-Access.2021
- A Deep Semantic Segmentation Model for Image-based Table Structure Recognition, (PKU), 2020-12, ICSP-2020
- Holistic design for deep learning-based discovery of tabular structures in datasheet images, (uOttawa, ITU, Lytica), 2020-04, Engineering-Applications-of-Artificial-Intelligence.2020
- Table Localization and Segmentation using GAN and CNN, (TU Kaiserslautern, DFKI), 2019-09, ICDAR-Workshop-2019
DeepTabStRDeepTabStR: Deep Learning based Table Structure Recognition, (TU Kaiserslautern, DFKI), 2019-09, ICDAR-2019- Rethinking Semantic Segmentation for Table Structure Recognition in Documents, (TU Kaiserslautern, DFKI), 2019-09, ICDAR-2019
SPLERGEDeep Splitting and Merging for Table Structure Decomposition, (Adobe, BYU), 2019-09, ICDAR-2019TableNetTableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images, (TCS), 2019-09, ICDAR-2019- Table Structure Extraction with Bi-directional Gated Recurrent Unit Networks, (NUST, NCAI), 2019-09, ICDAR-2019
- Deep Learning for Recognizing the Anatomy of Tables on Datasheets, (uOttawa, Lytica), 2019-06, ISCC-2019
- Extracting Tables from Documents using Conditional Generative Adversarial Networks and Genetic Algorithms, (Swiss Re), 2019-04, IJCNN-2019
DeepDeSRTDeepDeSRT: Deep Learning for Detection and Structure Recognition of Tables in Document Images, (Hochschule Mannheim, TU Kaiserslautern, DFKI), 2017-11, ICDAR-2017
2.2 Bottom-Up
2.2.1 Cell based / Grid based
OG-HFYOLOOG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation, (NCHU), 2025-04, arXivTableCenterNetTowards One-Stage End-to-End Table Structure Recognition with Parallel Regression for Diverse Scenarios, (NCHU), 2025-04, arXivTableRocketTableRocket: An Efficient and Effective Framework for Table Reconstruction, (UCAS, CAS, Zhongke Fanyu), 2024-11, PRCV-2024ETTEnd to End Table Transformer, (Samsung), 2024-09, ICDAR-2024LRATNetLRATNet: Local-Relationship-Aware Transformer Network for Table Structure Recognition, (ECNU, SHMTU, SUES), 2024-01, MMM-2024LORE++LORE++: Logical Location Regression Network for Table Structure Recognition with Pre-training, (Alibaba, ZJU), 2024-01, Pattern-Recognition.2025GridFormerGridFormer: Towards Accurate Table Structure Recognition via Grid Prediction, (Baidu, SCUT), 2023-09, ACM-MM-2023SKCNScene Table Structure Recognition with Segmentation and Key Point Collaboration, (SCUT, UCL), 2023-08, ICDAR-2023LORELORE: Logical Location Regression Network for Table Structure Recognition, (ZJU, Alibaba), 2023-03, AAAI-2023StrucTexTv2StrucTexTv2: Masked Visual-Textual Prediction for Document Image Pre-training, (Baidu), 2023-03, ICLR-2023SCANScene table structure recognition with segmentation collaboration and alignment, (SCUT), 2023-01, Pattern-Recognition.2023TSRNetTable Structure Recognition and Form Parsing by End-to-End Object Detection and Relation Parsing, (CAS, UCAS), 2022-12, Pattern-Recognition.2022- Handling big tabular data of ICT supply chains: a multi-task, machine-interpretable approach, (uOttawa, Lytica), 2022-08, GLOBECOM-2022
T2A Two-Phase Approach for Recognizing Tables with Complex Structures, (BIT, RUC), 2022-04, DASFAA-2022CATT-NetTable Structure Recognition with Conditional Attention, (uOttawa, Lytica), 2022-03, arXiv- Deep-learning and graph-based approach to table structure recognition, (SNU, Ajou), 2021-12, Multimedia-Tools-and-Applications.2022
TOD-NetVisual Understanding of Complex Table Structures from Document Images, (IIIT), 2021-11, WACV-2022Cycle-CenterNetParsing Table Structures in the Wild, (WHU, Alibaba), 2021-09, ICCV-2021- Adaptive Scaling for Archival Table Structure Recognition, (CAS, UCAS), 2021-09, ICDAR-2021
- Table-structure recognition method using neural networks for implicit ruled line estimation and cell estimation, (Okayama, NII), 2021-08, DocEng-2021
TabCellNetTabCellNet: Deep learning-based tabular cell structure detection, (uOttawa, Lytica), 2021-06, Neurocomputing.2021LGPMALGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment, (Hikvision, ZJU), 2021-05, ICDAR-2021- Image-based Table Cell Detection: a Novel Table Structure Decomposition Method with New Dataset, (SJTU), 2021-01, ICPR-2020
TabStruct-NetTable Structure Recognition using Top-Down and Bottom-Up Cues, (IIIT), 2020-10, ECCV-2020GTE-CellGlobal Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context, (UMich, IBM), 2020-05, WACV-2021CascadeTabNetCascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents, (PICT), 2020-04, CVPR-Workshop-2020GFTEGFTE: Graph-based Financial Table Extraction, (SJTU, XNAI), 2020-03, ICPR-2021ReS2TIMReS2TIM: Reconstruct Syntactic Structures from Table Images, (BJTU, Sydney), 2019-09, ICDAR-2019GraphTSRComplicated Table Structure Recognition, (BIT), 2019-08, arXiv
2.2.2 Word based / Text-Line based
ClusterTabNetClusterTabNet: Supervised clustering method for table detection and table structure recognition, (SAP), 2024-02, ICDAR-2024GTRNetGTRNet: a graph-based table reconstructed network, (SJTU), 2022-10, ICTAI-2022DocReLRelational Representation Learning in Visually-Rich Documents, (Tencent), 2022-05, ACM-MM-2022NCGMNeural Collaborative Graph Machines for Table Structure Recognition, (Tencent), 2021-11, CVPR-2022FLAG-NetShow, Read and Reason: Table Structure Recognition with Flexible Context Aggregator, (Tencent, XMU), 2021-10, ACM-MM-2021TSR-DSAWTSR-DSAW: Table Structure Recognition via Deep Spatial Association of Words, (TCS), 2021-10, ESANN-2021- Image-Based Relation Classification Approach for Table Structure Recognition, (JRI), 2021-09, ICDAR-2021
Form2SeqForm2Seq : A Framework for Higher-Order Form Structure Extraction, (Adobe), 2020-11, EMNLP-2020- Table Structure Recognition Based on Cell Relationship, a Bottom-Up Approach, (Datoin), 2019-09, RANLP-2019
TIES-2.0Rethinking Table Recognition using Graph Neural Networks, (NUST, NCAI), 2019-05, ICDAR-2019
2.3 Image-to-Sequence / End-to-End
DREAMDREAM: Document Reconstruction via End-to-end Autoregressive Model, (Tencent), 2025-07, ACM-MM-2025OmniParser V2OmniParser V2: Structured-Points-of-Thought for Unified Visual Text Parsing and Its Generality to Multimodal Large Language Models, (HUST, Alibaba), 2025-02, arXivBGTREnhancing Table Structure Recognition via Bounding Box Guidance, (SCUT), 2024-12, ICPR-2024PaliGemma 2PaliGemma 2: A Family of Versatile VLMs for Transfer, (Google), 2024-12, arXivTableAttentionMulti-Modal Attention Based on 2D Structured Sequence for Table Recognition, (CAS, UCAS, Zhongke Fanyu), 2024-11, PRCV-2024- Enhancing Transformer-Based Table Structure Recognition for Long Tables, (PKU), 2024-11, PRCV-2024
UniTabNetUniTabNet: Bridging Vision and Language Models for Enhanced Table Structure Recognition, (USTC, iFLYTEK), 2024-09, EMNLP-2024SPRINTSPRINT: Script-agnostic Structure Recognition in Tables, (IIT Bombay), 2024-09, ICDAR-2024TFLOPTFLOP: Table Structure Recognition Framework with Layout Pointer Mechanism, (Upstage AI), 2024-08, IJCAI-2024TabPediaTabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy, (USTC, ByteDance), 2024-06, NeurIPS-2024MuTabNetMulti-Cell Decoder and Mutual Learning for Table Structure and Character Recognition, (PFN), 2024-04, ICDAR-2024OmniParserOmniParser: A Unified Framework for Text Spotting, Key Information Extraction and Table Recognition, (Alibaba, HUST), 2024-03, CVPR-2024UniTableUniTable: Towards a Unified Framework for Table Structure Recognition via Self-Supervised Pretraining, (Georgia Tech, ADP), 2024-03, NeurIPS-Workshop-2024LinearProjSelf-Supervised Pre-Training for Table Structure Recognition Transformer, (Georgia Tech, ADP), 2024-02, AAAI-Workshop-2024CNN-transformerHigh-Performance Transformers for Table Structure Recognition Need Early Convolutions, (Georgia Tech, ADP), 2023-11, NeurIPS-Workshop-2023- An End-to-End Local Attention Based Model for Table Recognition, (NII), 2023-08, ICDAR-2023
TableVLMTableVLM: Multi-modal Pre-training for Table Structure Recognition, (Fudan, IIPL, Hundsun), 2023-07, ACL-2023MTL-TabNetAn End-to-End Multi-Task Learning Model for Image-based Table Recognition, (NII), 2023-03, VISIGRAPP-2023VASTImproving Table Structure Recognition with Visual-Alignment Sequential Coordinate Modeling, (Huawei, PKU), 2023-03, CVPR-2023WSTabNetRethinking Image-based Table Recognition Using Weakly Supervised Methods, (NII), 2023-02, ICPRAM-2023CoT_SRNContextual transformer sequence-based recognition network for medical examination reports, (SDNU), 2022-12, Applied-Intelligence.2023- Complex Table Structure Recognition in the Wild Using Transformer and Identity Matrix-Based Augmentation, (SCUT), 2022-11, ICFHR-2022
Tables to LaTeXTables to LaTeX: Structure and Content Extraction from Scientific Tables, (IIT Gandhinagar), 2022-10, IJDAR.2023SLANetPP-StructureV2: A Stronger Document Analysis System, (Baidu), 2022-10, arXivTableFormerTableFormer: Table Structure Understanding with Transformers, (IBM), 2022-03, CVPR-2022TRTTabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables, (IIT Gandhinagar), 2021-05, ICDAR-2021TableMASTERPingAn-VCGroup's Solution for ICDAR 2021 Competition on Scientific Literature Parsing Task B: Table Recognition to HTML, (Ping An), 2021-05, arXiv- PingAn-VCGroup's Solution for ICDAR 2021 Competition on Scientific Table Image Recognition to Latex, (Ping An), 2021-05, arXiv
EDDImage-based table recognition: data, model, and evaluation, (IBM), 2019-11, ECCV-2020TABLE2LATEXChallenges in end-to-end neural scientific table recognition, (Harvard, Bloomberg), 2019-09, ICDAR-2019TableBankTableBank: A Benchmark Dataset for Table Detection and Recognition, (BUAA, Microsoft), 2019-03, LREC-2020
3. Data
3.1 Dataset
ChemTableBenchmarking Multimodal LLMs on Recognition and Understanding over Chemical Tables, (USTC, iFLYTEK), 2025-06, arXivCISOLCISOL: An Open and Extensible Dataset for Table Structure Recognition in the Construction Industry, (Uni Weimar), 2025-01, WACV-2025BankTabNetTabSniper: Towards Accurate Table Detection & Structure Recognition for Bank Statements, (American Express), 2024-12, CODS-COMAD-2024OmniDocBenchOmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations, (Shanghai AI Lab, Abaka AI, 2077AI), 2024-12, CVPR-2025TableGrid-940KTableRocket: An Efficient and Effective Framework for Table Reconstruction, (UCAS, CAS, Zhongke Fanyu), 2024-11, PRCV-2024Annual Report TableSetRCAM-Transformer: A Novel Approach to Table Reconstruction Using Row-Column Attention Mechanism, (Foxit), 2024-09, DAS-2024MUSTARDSPRINT: Script-agnostic Structure Recognition in Tables, (IIT Bombay), 2024-09, ICDAR-2024DenseTabDTSM: Toward Dense Table Structure Recognition with Text Query Encoder and Adjacent Feature Aggregator, (SCUT), 2024-09, ICDAR-2024WikiDTWikiDT: Visual-Based Table Recognition and Question Answering Dataset, (UC San Diego, Amazon), 2024-09, ICDAR-2024Chinese financial announcement table benchmarkSynthesizing Realistic Data for Table Recognition, (iWudao Tech, HUST), 2024-04, ICDAR-2024PubTabNet250An End-to-End Local Attention Based Model for Table Recognition, (NII), 2023-08, ICDAR-2023GenTSRA Study on Reproducibility and Replicability of Table Structure Recognition Methods, (ODU, PSU), 2023-04, ICDAR-2023iFLYTABSEMv2: Table Separation Line Detection Based on Conditional Convolution, (USTC, iFLYTEK), 2023-03, Pattern-Recognition.2024- Aligning benchmark datasets for table structure recognition, (Microsoft), 2023-03, ICDAR-2023
TabRecSetA large-scale dataset for end-to-end table recognition in the wild, (SCUT, CRRC Times, Pazhou Lab), 2023-02, Data-Descriptor.2023CTECTE: A Dataset for Contextualized Table Extraction, (UniFI), 2023-02, IRCDL-2023GraphTableGTRNet: a graph-based table reconstructed network, (SJTU), 2022-10, ICTAI-2022Tab-To-TexTables to LaTeX: Structure and Content Extraction from Scientific Tables, (IIT Gandhinagar), 2022-10, IJDAR.2023ComFinTabEnd-to-end compound table understanding with multi-modal modeling, (Hikvision, ShanghaiTech, ZJU), 2022-10, ACM-MM-2022- Benchmarking table recognition performance on biomedical literature on neurological disorders, (Fraunhofer Institute, uni-bonn), 2021-12, Bioinformatics.2022
TUCDVisual Understanding of Complex Table Structures from Document Images, (IIIT), 2021-11, WACV-2022PubTables-1MPubTables-1M: Towards comprehensive table extraction from unstructured documents, (Microsoft), 2021-10, CVPR-2022WTWParsing Table Structures in the Wild, (WHU, Alibaba), 2021-09, ICCV-2021Tal ocr_table2021好未来表格识别大赛, (TAL), 2021-06, PRCV-2021TableGraph-350KTGRNet: A Table Graph Reconstruction Network for Table Structure Recognition, (BJTU, Sydney, JD), 2021-06, ICCV-2021TabLeXTabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables, (IIT Gandhinagar), 2021-05, ICDAR-2021FinTabNetGlobal Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context, (UMich, IBM), 2020-05, WACV-2021FinTabGFTE: Graph-based Financial Table Extraction, (SJTU, XNAI), 2020-03, ICPR-2021PubTabNetImage-based table recognition: data, model, and evaluation, (IBM), 2019-11, ECCV-2020TabStructDBDeepTabStR: Deep Learning based Table Structure Recognition, (TU Kaiserslautern, DFKI), 2019-09, ICDAR-2019TABLE2LATEX-450KChallenges in end-to-end neural scientific table recognition, (Harvard, Bloomberg), 2019-09, ICDAR-2019ICDAR 2019ICDAR 2019 Competition on Table Detection and Recognition (cTDaR), (PKU, Naver, Founder Group, TU Wien, Bistum Passau), 2019-09, ICDAR-2019SciTSRComplicated Table Structure Recognition, (BIT), 2019-08, arXivTableBankTableBank: A Benchmark Dataset for Table Detection and Recognition, (BUAA, Microsoft), 2019-03, LREC-2020ICDAR 2013ICDAR 2013 Table Competition, (TU Wien, Uni Konstanz, UniCal, Oxford), 2013-08, ICDAR-2013UNLVAn open approach towards the benchmarking of table structure recognition systems, (DFKI), 2010-06, DAS-2010
3.2 Data Synthesis / Data Generation / Data Augmentation
DWTALOG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation, (NCHU), 2025-04, arXivSynFinTabsSynFinTabs: A Dataset of Synthetic Financial Tables for Information and Table Extraction, (QUB), 2024-12, arXivSNSTabEnhancing Table Structure Recognition via Bounding Box Guidance, (SCUT), 2024-12, ICPR-2024- Latent Diffusion for Guided Document Table Generation, (IIT Bombay), 2024-08, ICDAR-2024
- Uncertainty Quantification in Table Structure Recognition, (ODU), 2024-07, IRI-2024
- Synthesizing Realistic Data for Table Recognition, (iWudao Tech, HUST), 2024-04, ICDAR-2024
WEATHERGOV+WEATHERGOV+: A Table Recognition and Summarization Dataset to Bridge the Gap Between Document Image Analysis and Natural Language Generation, (UVIC), 2023-08, DocEng-2023- PyramidTabNet: Transformer based Table Recognition in Image-based Documents, (NUST, NCAI), 2023-08, ICDAR-2023
TabSynthScene Table Structure Recognition with Segmentation and Key Point Collaboration, (SCUT, UCL), 2023-08, ICDAR-2023ComplexTableTableVLM: Multi-modal Pre-training for Table Structure Recognition, (Fudan, IIPL, Hundsun), 2023-07, ACL-2023- A large-scale dataset for end-to-end table recognition in the wild, (SCUT, CRRC Times, Pazhou Lab), 2023-02, Data-Descriptor.2023
WikiTableSetRethinking Image-based Table Recognition Using Weakly Supervised Methods, (NII), 2023-02, ICPRAM-2023BTFBUDDI Table Factory: A toolbox for generating synthetic documents with annotated tables and cells, (BUDDI AI), 2023-01, CODS-COMAD-2023TabSplitterComplex Table Structure Recognition in the Wild Using Transformer and Identity Matrix-Based Augmentation, (SCUT), 2022-11, ICFHR-2022TableGenerationTableGeneration, (-), 2022-08, GitHubSynthTabNetTableFormer: Table Structure Understanding with Transformers, (IBM), 2022-03, CVPR-2022- Neural Collaborative Graph Machines for Table Structure Recognition, (Tencent), 2021-11, CVPR-2022
- Image-Based Relation Classification Approach for Table Structure Recognition, (JRI), 2021-09, ICDAR-2021
TabAugTabAug: Data Driven Augmentation for Enhanced Table Structure Recognition, (NUST), 2021-04, ICDAR-2021- Image-based Table Cell Detection: a Novel Table Structure Decomposition Method with New Dataset, (SJTU), 2021-01, ICPR-2020
TableRobotTableRobot: an automatic annotation method for heterogeneous tables, (BUPT, CAS), 2021-01, Personal-and-Ubiquitous-Computing.2022- Rethinking Table Recognition using Graph Neural Networks, (NUST, NCAI), 2019-05, ICDAR-2019
3.3 Data Representation
- Enhancing Transformer-Based Table Structure Recognition for Long Tables, (PKU), 2024-11, PRCV-2024
- TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy, (USTC, ByteDance), 2024-06, NeurIPS-2024
- GridFormer: Towards Accurate Table Structure Recognition via Grid Prediction, (Baidu, SCUT), 2023-09, ACM-MM-2023
OTSLOptimized Table Tokenization for Table Structure Recognition, (IBM), 2023-05, ICDAR-2023IMComplex Table Structure Recognition in the Wild Using Transformer and Identity Matrix-Based Augmentation, (SCUT), 2022-11, ICFHR-2022
4. Metric
- Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner, (USTC, iFLYTEK), 2024-12, arXiv
TEDS_IOUEvaluating Table Structure Recognition: A New Perspective, (American Express), 2022-05, DAS-2022GriTSGriTS: Grid table similarity metric for table structure recognition, (Microsoft), 2022-03, ICDAR-2023- Visual Understanding of Complex Table Structures from Document Images, (IIIT), 2021-11, WACV-2022
EMA, BLEU, WERTabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables, (IIT Gandhinagar), 2021-05, ICDAR-2021TEDS-StrucLGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment, (Hikvision, ZJU), 2021-05, ICDAR-2021TEDSImage-based table recognition: data, model, and evaluation, (IBM), 2019-11, ECCV-2020WAvg.F1ICDAR 2019 Competition on Table Detection and Recognition (cTDaR), (PKU, Naver, Founder Group, TU Wien, Bistum Passau), 2019-09, ICDAR-2019BLEUTableBank: A Benchmark Dataset for Table Detection and Recognition, (BUAA, Microsoft), 2019-03, LREC-2020F1ICDAR 2013 Table Competition, (TU Wien, Uni Konstanz, UniCal, Oxford), 2013-08, ICDAR-2013- An open approach towards the benchmarking of table structure recognition systems, (DFKI), 2010-06, DAS-2010
document-ai
document-intelligence
table-recognition
table-structure-recognition
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qyhou
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A curated list of resources on Table Structure Recognition
38
23 commits
updated Jul 31, 2025
README
curated-table-structure-recognition
This repository provides a curated list of resources in the research domain of Table Structure Recognition (TSR), updated in my free time.
Methods based on heuristic rules are not included.
Keywords
"Table Structure Recognition" OR "Table Recognition"
Table of Contents
- Survey / Competition
- Methodology
- 2.1 Top-Down
- 2.2 Bottom-Up
- 2.2.1 Cell based / Grid based
- 2.2.2 Word based / Text-Line based
- 2.3 Image-to-Sequence / End-to-End
- Data
- 3.1 Dataset
- 3.2 Data Synthesis / Data Generation / Data Augmentation
- 3.3 Data Representation
- Metric
1. Survey / Competition
- A survey for table recognition based on deep learning, (Xidian), 2024-10, Neurocomputing.2024
- From Detection to Application: Recent Advances in Understanding Scientific Tables and Figures, (WHU, UNT), 2024-06, ACM-Computing-Surveys.2024
- A Review On Table Recognition Based On Deep Learning, (HKUST, Pacific), 2023-12, arXiv
- A Study on Reproducibility and Replicability of Table Structure Recognition Methods, (ODU, PSU), 2023-04, ICDAR-2023
- Deep learning for table detection and structure recognition: A survey, (AUN, IITU, KazMunayGas, Satbayev, ITI, CBNU), 2022-11, ACM-Computing-Surveys.2024
- A survey on table recognition technology, (PKU, Huawei, SCUT), 2022-06, JIG.2022
- ICDAR 2021 Competition on Scientific Table Image Recognition to LaTeX, (IIT Gandhinagar), 2021-09, ICDAR-2021
- ICDAR 2021 Competition on Scientific Literature Parsing, (IBM, UniMelb, Oracle), 2021-06, ICDAR-2021
- Current Status and Performance Analysis of Table Recognition in Document Images with Deep Neural Networks, (DFKI, TU Kaiserslautern, LTU, Bilojix), 2021-04, IEEE-Access.2021
- ICDAR 2019 Competition on Table Detection and Recognition (cTDaR), (PKU, Naver, Founder Group, TU Wien, Bistum Passau), 2019-09, ICDAR-2019
2. Methodology
2.1 Top-Down
SepFormerSepFormer: Coarse-to-fine Separator Regression Network for Table Structure Recognition, (Viettel Group, HCMUT), 2025-06, ICDAR-2025TABLETTABLET: Table Structure Recognition using Encoder-only Transformers, (iWudao Tech), 2025-06, ICDAR-2025TabSniperTabSniper: Towards Accurate Table Detection & Structure Recognition for Bank Statements, (American Express), 2024-12, CODS-COMAD-2024RTSRRTSR: A Real-Time Table Structure Recognition Approach, (Viettel Group, HCMUT), 2024-10, ECAI-2024RCAM-TransformerRCAM-Transformer: A Novel Approach to Table Reconstruction Using Row-Column Attention Mechanism, (Foxit), 2024-09, DAS-2024DTSMDTSM: Toward Dense Table Structure Recognition with Text Query Encoder and Adjacent Feature Aggregator, (SCUT), 2024-09, ICDAR-2024CRCRNetCRCRNet: An Integrated Approach to Table Data Extraction, (Jiangsu Frontier Electric Technology), 2024-08, CNCIT-2024SEMv3SEMv3: A Fast and Robust Approach to Table Separation Line Detection, (USTC, iFLYTEK), 2024-05, IJCAI-2024TSRDetRethinking Detection Based Table Structure Recognition for Visually Rich Document Images, (uOttawa, Lytica), 2023-12, Expert-Systems-with-Applications.2025TableStrRecTableStrRec: framework for table structure recognition in data sheet images, (uOttawa, Gnowit, Lytica), 2023-09, IJDAR.2023DRCCDivide Rows and Conquer Cells: Towards Structure Recognition for Large Tables, (CAS, UCAS, Hikvision, CUC), 2023-08, IJCAI-2023FormergeFormerge: Recover spanning cells in complex table structure using transformer network, (VTCC, HCMUT), 2023-08, ICDAR-2023PyramidTabNetPyramidTabNet: Transformer based Table Recognition in Image-based Documents, (NUST, NCAI), 2023-08, ICDAR-2023TRACETRACE: Table Reconstruction Aligned to Corner and Edges, (Naver, Works Mobile, Upstage, Kakao), 2023-05, ICDAR-2023TSRFormer(DQ-DETR)Robust Table Structure Recognition with Dynamic Queries Enhanced Detection Transformer, (USTC, Microsoft, SJTU, Alibaba), 2023-03, Pattern-Recognition.2023GrabTabGrab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation, (Tencent), 2023-03, AAAI-2024SEMv2SEMv2: Table Separation Line Detection Based on Conditional Convolution, (USTC, iFLYTEK), 2023-03, Pattern-Recognition.2024LRCAANetTable Structure Recognition Method Based on Lightweight Network and Channel Attention, (QDU), 2023-01, Electronics.2023- Table Structure Recognition Based on Grid Shape Graph, (SNU, LG, Ajou), 2022-11, APSIPAASC-2022
- Efficient Information Sharing in ICT Supply Chain Social Network via Table Structure Recognition, (uOttawa, Lytica), 2022-11, GLOBECOM-2022
TRUSTTRUST: An Accurate and End-to-End Table structure Recognizer Using Splitting-based Transformers, (Baidu, DUT), 2022-08, arXivTSRFormerTSRFormer: Table Structure Recognition with Transformers, (Microsoft, UCAS, USTC, SJTU), 2022-08, ACM-MM-2022- A Structure-Focused Deep Learning Approach for Table Recognition from Document Images, (OSU), 2022-06, COMPSAC-2022
DeTableDeTable: Table data extraction model based on deep, (BUAA), 2022-05, ICNCC-2021RCANetRCANet: A Rows and Columns Aggregated Network for Table Structure Recognition, (JIT, NJUPT), 2022-05, ICTC-2022RobusTabNetRobust Table Detection and Structure Recognition from Heterogeneous Document Images, (USTC, Microsoft), 2022-03, Pattern-Recognition.2023TATRPubTables-1M: Towards comprehensive table extraction from unstructured documents, (Microsoft), 2021-10, CVPR-2022CoDecTable Structure Recognition Using CoDec Encoder-Decoder, (Mastercard), 2021-09, ICDAR-Workshop-2021- Rethinking Table Structure Recognition Using Sequence Labeling Methods, (PKU, Huawei), 2021-09, ICDAR-2021
SEMSplit, Embed and Merge: An accurate table structure recognizer, (USTC, iFLYTEK), 2021-07, Pattern-Recognition.2022TGRNetTGRNet: A Table Graph Reconstruction Network for Table Structure Recognition, (BJTU, Sydney, JD), 2021-06, ICCV-2021- Guided Table Structure Recognition through Anchor Optimization, (DFKI, TU Kaiserslautern, LTU, Bilojix), 2021-04, IEEE-Access.2021
- A Deep Semantic Segmentation Model for Image-based Table Structure Recognition, (PKU), 2020-12, ICSP-2020
- Holistic design for deep learning-based discovery of tabular structures in datasheet images, (uOttawa, ITU, Lytica), 2020-04, Engineering-Applications-of-Artificial-Intelligence.2020
- Table Localization and Segmentation using GAN and CNN, (TU Kaiserslautern, DFKI), 2019-09, ICDAR-Workshop-2019
DeepTabStRDeepTabStR: Deep Learning based Table Structure Recognition, (TU Kaiserslautern, DFKI), 2019-09, ICDAR-2019- Rethinking Semantic Segmentation for Table Structure Recognition in Documents, (TU Kaiserslautern, DFKI), 2019-09, ICDAR-2019
SPLERGEDeep Splitting and Merging for Table Structure Decomposition, (Adobe, BYU), 2019-09, ICDAR-2019TableNetTableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images, (TCS), 2019-09, ICDAR-2019- Table Structure Extraction with Bi-directional Gated Recurrent Unit Networks, (NUST, NCAI), 2019-09, ICDAR-2019
- Deep Learning for Recognizing the Anatomy of Tables on Datasheets, (uOttawa, Lytica), 2019-06, ISCC-2019
- Extracting Tables from Documents using Conditional Generative Adversarial Networks and Genetic Algorithms, (Swiss Re), 2019-04, IJCNN-2019
DeepDeSRTDeepDeSRT: Deep Learning for Detection and Structure Recognition of Tables in Document Images, (Hochschule Mannheim, TU Kaiserslautern, DFKI), 2017-11, ICDAR-2017
2.2 Bottom-Up
2.2.1 Cell based / Grid based
OG-HFYOLOOG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation, (NCHU), 2025-04, arXivTableCenterNetTowards One-Stage End-to-End Table Structure Recognition with Parallel Regression for Diverse Scenarios, (NCHU), 2025-04, arXivTableRocketTableRocket: An Efficient and Effective Framework for Table Reconstruction, (UCAS, CAS, Zhongke Fanyu), 2024-11, PRCV-2024ETTEnd to End Table Transformer, (Samsung), 2024-09, ICDAR-2024LRATNetLRATNet: Local-Relationship-Aware Transformer Network for Table Structure Recognition, (ECNU, SHMTU, SUES), 2024-01, MMM-2024LORE++LORE++: Logical Location Regression Network for Table Structure Recognition with Pre-training, (Alibaba, ZJU), 2024-01, Pattern-Recognition.2025GridFormerGridFormer: Towards Accurate Table Structure Recognition via Grid Prediction, (Baidu, SCUT), 2023-09, ACM-MM-2023SKCNScene Table Structure Recognition with Segmentation and Key Point Collaboration, (SCUT, UCL), 2023-08, ICDAR-2023LORELORE: Logical Location Regression Network for Table Structure Recognition, (ZJU, Alibaba), 2023-03, AAAI-2023StrucTexTv2StrucTexTv2: Masked Visual-Textual Prediction for Document Image Pre-training, (Baidu), 2023-03, ICLR-2023SCANScene table structure recognition with segmentation collaboration and alignment, (SCUT), 2023-01, Pattern-Recognition.2023TSRNetTable Structure Recognition and Form Parsing by End-to-End Object Detection and Relation Parsing, (CAS, UCAS), 2022-12, Pattern-Recognition.2022- Handling big tabular data of ICT supply chains: a multi-task, machine-interpretable approach, (uOttawa, Lytica), 2022-08, GLOBECOM-2022
T2A Two-Phase Approach for Recognizing Tables with Complex Structures, (BIT, RUC), 2022-04, DASFAA-2022CATT-NetTable Structure Recognition with Conditional Attention, (uOttawa, Lytica), 2022-03, arXiv- Deep-learning and graph-based approach to table structure recognition, (SNU, Ajou), 2021-12, Multimedia-Tools-and-Applications.2022
TOD-NetVisual Understanding of Complex Table Structures from Document Images, (IIIT), 2021-11, WACV-2022Cycle-CenterNetParsing Table Structures in the Wild, (WHU, Alibaba), 2021-09, ICCV-2021- Adaptive Scaling for Archival Table Structure Recognition, (CAS, UCAS), 2021-09, ICDAR-2021
- Table-structure recognition method using neural networks for implicit ruled line estimation and cell estimation, (Okayama, NII), 2021-08, DocEng-2021
TabCellNetTabCellNet: Deep learning-based tabular cell structure detection, (uOttawa, Lytica), 2021-06, Neurocomputing.2021LGPMALGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment, (Hikvision, ZJU), 2021-05, ICDAR-2021- Image-based Table Cell Detection: a Novel Table Structure Decomposition Method with New Dataset, (SJTU), 2021-01, ICPR-2020
TabStruct-NetTable Structure Recognition using Top-Down and Bottom-Up Cues, (IIIT), 2020-10, ECCV-2020GTE-CellGlobal Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context, (UMich, IBM), 2020-05, WACV-2021CascadeTabNetCascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents, (PICT), 2020-04, CVPR-Workshop-2020GFTEGFTE: Graph-based Financial Table Extraction, (SJTU, XNAI), 2020-03, ICPR-2021ReS2TIMReS2TIM: Reconstruct Syntactic Structures from Table Images, (BJTU, Sydney), 2019-09, ICDAR-2019GraphTSRComplicated Table Structure Recognition, (BIT), 2019-08, arXiv
2.2.2 Word based / Text-Line based
ClusterTabNetClusterTabNet: Supervised clustering method for table detection and table structure recognition, (SAP), 2024-02, ICDAR-2024GTRNetGTRNet: a graph-based table reconstructed network, (SJTU), 2022-10, ICTAI-2022DocReLRelational Representation Learning in Visually-Rich Documents, (Tencent), 2022-05, ACM-MM-2022NCGMNeural Collaborative Graph Machines for Table Structure Recognition, (Tencent), 2021-11, CVPR-2022FLAG-NetShow, Read and Reason: Table Structure Recognition with Flexible Context Aggregator, (Tencent, XMU), 2021-10, ACM-MM-2021TSR-DSAWTSR-DSAW: Table Structure Recognition via Deep Spatial Association of Words, (TCS), 2021-10, ESANN-2021- Image-Based Relation Classification Approach for Table Structure Recognition, (JRI), 2021-09, ICDAR-2021
Form2SeqForm2Seq : A Framework for Higher-Order Form Structure Extraction, (Adobe), 2020-11, EMNLP-2020- Table Structure Recognition Based on Cell Relationship, a Bottom-Up Approach, (Datoin), 2019-09, RANLP-2019
TIES-2.0Rethinking Table Recognition using Graph Neural Networks, (NUST, NCAI), 2019-05, ICDAR-2019
2.3 Image-to-Sequence / End-to-End
DREAMDREAM: Document Reconstruction via End-to-end Autoregressive Model, (Tencent), 2025-07, ACM-MM-2025OmniParser V2OmniParser V2: Structured-Points-of-Thought for Unified Visual Text Parsing and Its Generality to Multimodal Large Language Models, (HUST, Alibaba), 2025-02, arXivBGTREnhancing Table Structure Recognition via Bounding Box Guidance, (SCUT), 2024-12, ICPR-2024PaliGemma 2PaliGemma 2: A Family of Versatile VLMs for Transfer, (Google), 2024-12, arXivTableAttentionMulti-Modal Attention Based on 2D Structured Sequence for Table Recognition, (CAS, UCAS, Zhongke Fanyu), 2024-11, PRCV-2024- Enhancing Transformer-Based Table Structure Recognition for Long Tables, (PKU), 2024-11, PRCV-2024
UniTabNetUniTabNet: Bridging Vision and Language Models for Enhanced Table Structure Recognition, (USTC, iFLYTEK), 2024-09, EMNLP-2024SPRINTSPRINT: Script-agnostic Structure Recognition in Tables, (IIT Bombay), 2024-09, ICDAR-2024TFLOPTFLOP: Table Structure Recognition Framework with Layout Pointer Mechanism, (Upstage AI), 2024-08, IJCAI-2024TabPediaTabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy, (USTC, ByteDance), 2024-06, NeurIPS-2024MuTabNetMulti-Cell Decoder and Mutual Learning for Table Structure and Character Recognition, (PFN), 2024-04, ICDAR-2024OmniParserOmniParser: A Unified Framework for Text Spotting, Key Information Extraction and Table Recognition, (Alibaba, HUST), 2024-03, CVPR-2024UniTableUniTable: Towards a Unified Framework for Table Structure Recognition via Self-Supervised Pretraining, (Georgia Tech, ADP), 2024-03, NeurIPS-Workshop-2024LinearProjSelf-Supervised Pre-Training for Table Structure Recognition Transformer, (Georgia Tech, ADP), 2024-02, AAAI-Workshop-2024CNN-transformerHigh-Performance Transformers for Table Structure Recognition Need Early Convolutions, (Georgia Tech, ADP), 2023-11, NeurIPS-Workshop-2023- An End-to-End Local Attention Based Model for Table Recognition, (NII), 2023-08, ICDAR-2023
TableVLMTableVLM: Multi-modal Pre-training for Table Structure Recognition, (Fudan, IIPL, Hundsun), 2023-07, ACL-2023MTL-TabNetAn End-to-End Multi-Task Learning Model for Image-based Table Recognition, (NII), 2023-03, VISIGRAPP-2023VASTImproving Table Structure Recognition with Visual-Alignment Sequential Coordinate Modeling, (Huawei, PKU), 2023-03, CVPR-2023WSTabNetRethinking Image-based Table Recognition Using Weakly Supervised Methods, (NII), 2023-02, ICPRAM-2023CoT_SRNContextual transformer sequence-based recognition network for medical examination reports, (SDNU), 2022-12, Applied-Intelligence.2023- Complex Table Structure Recognition in the Wild Using Transformer and Identity Matrix-Based Augmentation, (SCUT), 2022-11, ICFHR-2022
Tables to LaTeXTables to LaTeX: Structure and Content Extraction from Scientific Tables, (IIT Gandhinagar), 2022-10, IJDAR.2023SLANetPP-StructureV2: A Stronger Document Analysis System, (Baidu), 2022-10, arXivTableFormerTableFormer: Table Structure Understanding with Transformers, (IBM), 2022-03, CVPR-2022TRTTabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables, (IIT Gandhinagar), 2021-05, ICDAR-2021TableMASTERPingAn-VCGroup's Solution for ICDAR 2021 Competition on Scientific Literature Parsing Task B: Table Recognition to HTML, (Ping An), 2021-05, arXiv- PingAn-VCGroup's Solution for ICDAR 2021 Competition on Scientific Table Image Recognition to Latex, (Ping An), 2021-05, arXiv
EDDImage-based table recognition: data, model, and evaluation, (IBM), 2019-11, ECCV-2020TABLE2LATEXChallenges in end-to-end neural scientific table recognition, (Harvard, Bloomberg), 2019-09, ICDAR-2019TableBankTableBank: A Benchmark Dataset for Table Detection and Recognition, (BUAA, Microsoft), 2019-03, LREC-2020
3. Data
3.1 Dataset
ChemTableBenchmarking Multimodal LLMs on Recognition and Understanding over Chemical Tables, (USTC, iFLYTEK), 2025-06, arXivCISOLCISOL: An Open and Extensible Dataset for Table Structure Recognition in the Construction Industry, (Uni Weimar), 2025-01, WACV-2025BankTabNetTabSniper: Towards Accurate Table Detection & Structure Recognition for Bank Statements, (American Express), 2024-12, CODS-COMAD-2024OmniDocBenchOmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations, (Shanghai AI Lab, Abaka AI, 2077AI), 2024-12, CVPR-2025TableGrid-940KTableRocket: An Efficient and Effective Framework for Table Reconstruction, (UCAS, CAS, Zhongke Fanyu), 2024-11, PRCV-2024Annual Report TableSetRCAM-Transformer: A Novel Approach to Table Reconstruction Using Row-Column Attention Mechanism, (Foxit), 2024-09, DAS-2024MUSTARDSPRINT: Script-agnostic Structure Recognition in Tables, (IIT Bombay), 2024-09, ICDAR-2024DenseTabDTSM: Toward Dense Table Structure Recognition with Text Query Encoder and Adjacent Feature Aggregator, (SCUT), 2024-09, ICDAR-2024WikiDTWikiDT: Visual-Based Table Recognition and Question Answering Dataset, (UC San Diego, Amazon), 2024-09, ICDAR-2024Chinese financial announcement table benchmarkSynthesizing Realistic Data for Table Recognition, (iWudao Tech, HUST), 2024-04, ICDAR-2024PubTabNet250An End-to-End Local Attention Based Model for Table Recognition, (NII), 2023-08, ICDAR-2023GenTSRA Study on Reproducibility and Replicability of Table Structure Recognition Methods, (ODU, PSU), 2023-04, ICDAR-2023iFLYTABSEMv2: Table Separation Line Detection Based on Conditional Convolution, (USTC, iFLYTEK), 2023-03, Pattern-Recognition.2024- Aligning benchmark datasets for table structure recognition, (Microsoft), 2023-03, ICDAR-2023
TabRecSetA large-scale dataset for end-to-end table recognition in the wild, (SCUT, CRRC Times, Pazhou Lab), 2023-02, Data-Descriptor.2023CTECTE: A Dataset for Contextualized Table Extraction, (UniFI), 2023-02, IRCDL-2023GraphTableGTRNet: a graph-based table reconstructed network, (SJTU), 2022-10, ICTAI-2022Tab-To-TexTables to LaTeX: Structure and Content Extraction from Scientific Tables, (IIT Gandhinagar), 2022-10, IJDAR.2023ComFinTabEnd-to-end compound table understanding with multi-modal modeling, (Hikvision, ShanghaiTech, ZJU), 2022-10, ACM-MM-2022- Benchmarking table recognition performance on biomedical literature on neurological disorders, (Fraunhofer Institute, uni-bonn), 2021-12, Bioinformatics.2022
TUCDVisual Understanding of Complex Table Structures from Document Images, (IIIT), 2021-11, WACV-2022PubTables-1MPubTables-1M: Towards comprehensive table extraction from unstructured documents, (Microsoft), 2021-10, CVPR-2022WTWParsing Table Structures in the Wild, (WHU, Alibaba), 2021-09, ICCV-2021Tal ocr_table2021好未来表格识别大赛, (TAL), 2021-06, PRCV-2021TableGraph-350KTGRNet: A Table Graph Reconstruction Network for Table Structure Recognition, (BJTU, Sydney, JD), 2021-06, ICCV-2021TabLeXTabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables, (IIT Gandhinagar), 2021-05, ICDAR-2021FinTabNetGlobal Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context, (UMich, IBM), 2020-05, WACV-2021FinTabGFTE: Graph-based Financial Table Extraction, (SJTU, XNAI), 2020-03, ICPR-2021PubTabNetImage-based table recognition: data, model, and evaluation, (IBM), 2019-11, ECCV-2020TabStructDBDeepTabStR: Deep Learning based Table Structure Recognition, (TU Kaiserslautern, DFKI), 2019-09, ICDAR-2019TABLE2LATEX-450KChallenges in end-to-end neural scientific table recognition, (Harvard, Bloomberg), 2019-09, ICDAR-2019ICDAR 2019ICDAR 2019 Competition on Table Detection and Recognition (cTDaR), (PKU, Naver, Founder Group, TU Wien, Bistum Passau), 2019-09, ICDAR-2019SciTSRComplicated Table Structure Recognition, (BIT), 2019-08, arXivTableBankTableBank: A Benchmark Dataset for Table Detection and Recognition, (BUAA, Microsoft), 2019-03, LREC-2020ICDAR 2013ICDAR 2013 Table Competition, (TU Wien, Uni Konstanz, UniCal, Oxford), 2013-08, ICDAR-2013UNLVAn open approach towards the benchmarking of table structure recognition systems, (DFKI), 2010-06, DAS-2010
3.2 Data Synthesis / Data Generation / Data Augmentation
DWTALOG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation, (NCHU), 2025-04, arXivSynFinTabsSynFinTabs: A Dataset of Synthetic Financial Tables for Information and Table Extraction, (QUB), 2024-12, arXivSNSTabEnhancing Table Structure Recognition via Bounding Box Guidance, (SCUT), 2024-12, ICPR-2024- Latent Diffusion for Guided Document Table Generation, (IIT Bombay), 2024-08, ICDAR-2024
- Uncertainty Quantification in Table Structure Recognition, (ODU), 2024-07, IRI-2024
- Synthesizing Realistic Data for Table Recognition, (iWudao Tech, HUST), 2024-04, ICDAR-2024
WEATHERGOV+WEATHERGOV+: A Table Recognition and Summarization Dataset to Bridge the Gap Between Document Image Analysis and Natural Language Generation, (UVIC), 2023-08, DocEng-2023- PyramidTabNet: Transformer based Table Recognition in Image-based Documents, (NUST, NCAI), 2023-08, ICDAR-2023
TabSynthScene Table Structure Recognition with Segmentation and Key Point Collaboration, (SCUT, UCL), 2023-08, ICDAR-2023ComplexTableTableVLM: Multi-modal Pre-training for Table Structure Recognition, (Fudan, IIPL, Hundsun), 2023-07, ACL-2023- A large-scale dataset for end-to-end table recognition in the wild, (SCUT, CRRC Times, Pazhou Lab), 2023-02, Data-Descriptor.2023
WikiTableSetRethinking Image-based Table Recognition Using Weakly Supervised Methods, (NII), 2023-02, ICPRAM-2023BTFBUDDI Table Factory: A toolbox for generating synthetic documents with annotated tables and cells, (BUDDI AI), 2023-01, CODS-COMAD-2023TabSplitterComplex Table Structure Recognition in the Wild Using Transformer and Identity Matrix-Based Augmentation, (SCUT), 2022-11, ICFHR-2022TableGenerationTableGeneration, (-), 2022-08, GitHubSynthTabNetTableFormer: Table Structure Understanding with Transformers, (IBM), 2022-03, CVPR-2022- Neural Collaborative Graph Machines for Table Structure Recognition, (Tencent), 2021-11, CVPR-2022
- Image-Based Relation Classification Approach for Table Structure Recognition, (JRI), 2021-09, ICDAR-2021
TabAugTabAug: Data Driven Augmentation for Enhanced Table Structure Recognition, (NUST), 2021-04, ICDAR-2021- Image-based Table Cell Detection: a Novel Table Structure Decomposition Method with New Dataset, (SJTU), 2021-01, ICPR-2020
TableRobotTableRobot: an automatic annotation method for heterogeneous tables, (BUPT, CAS), 2021-01, Personal-and-Ubiquitous-Computing.2022- Rethinking Table Recognition using Graph Neural Networks, (NUST, NCAI), 2019-05, ICDAR-2019
3.3 Data Representation
- Enhancing Transformer-Based Table Structure Recognition for Long Tables, (PKU), 2024-11, PRCV-2024
- TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy, (USTC, ByteDance), 2024-06, NeurIPS-2024
- GridFormer: Towards Accurate Table Structure Recognition via Grid Prediction, (Baidu, SCUT), 2023-09, ACM-MM-2023
OTSLOptimized Table Tokenization for Table Structure Recognition, (IBM), 2023-05, ICDAR-2023IMComplex Table Structure Recognition in the Wild Using Transformer and Identity Matrix-Based Augmentation, (SCUT), 2022-11, ICFHR-2022
4. Metric
- Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner, (USTC, iFLYTEK), 2024-12, arXiv
TEDS_IOUEvaluating Table Structure Recognition: A New Perspective, (American Express), 2022-05, DAS-2022GriTSGriTS: Grid table similarity metric for table structure recognition, (Microsoft), 2022-03, ICDAR-2023- Visual Understanding of Complex Table Structures from Document Images, (IIIT), 2021-11, WACV-2022
EMA, BLEU, WERTabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables, (IIT Gandhinagar), 2021-05, ICDAR-2021TEDS-StrucLGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment, (Hikvision, ZJU), 2021-05, ICDAR-2021TEDSImage-based table recognition: data, model, and evaluation, (IBM), 2019-11, ECCV-2020WAvg.F1ICDAR 2019 Competition on Table Detection and Recognition (cTDaR), (PKU, Naver, Founder Group, TU Wien, Bistum Passau), 2019-09, ICDAR-2019BLEUTableBank: A Benchmark Dataset for Table Detection and Recognition, (BUAA, Microsoft), 2019-03, LREC-2020F1ICDAR 2013 Table Competition, (TU Wien, Uni Konstanz, UniCal, Oxford), 2013-08, ICDAR-2013- An open approach towards the benchmarking of table structure recognition systems, (DFKI), 2010-06, DAS-2010
document-ai
document-intelligence
table-recognition
table-structure-recognition
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