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https://github.com/MathamPollard/awesome-table-structure-recognition

A Curated List of Awesome Table Structure Recognition (TSR) Research. Including models, papers, datasets and codes. Continuously updating.
https://github.com/MathamPollard/awesome-table-structure-recognition

List: awesome-table-structure-recognition

document-understanding table-detection table-extraction table-functional-analysis table-structure-recognition

Last synced: about 1 month ago
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A Curated List of Awesome Table Structure Recognition (TSR) Research. Including models, papers, datasets and codes. Continuously updating.

Host: GitHub
URL: https://github.com/MathamPollard/awesome-table-structure-recognition
Owner: MathamPollard
License: apache-2.0
Created: 2023-12-15T09:50:35.000Z (9 months ago)
Default Branch: main
Last Pushed: 2024-04-17T12:09:54.000Z (5 months ago)
Last Synced: 2024-05-21T22:01:21.138Z (4 months ago)
Topics: document-understanding, table-detection, table-extraction, table-functional-analysis, table-structure-recognition
Homepage: https://github.com/MathamPollard/awesome-table-structure-recognition
Size: 145 KB
Stars: 33
Watchers: 2
Forks: 2
Open Issues: 2
Metadata Files:
- Readme: README.md
- License: LICENSE

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README

        # A Curated List of Awesome Table Structure Recognition (TSR) Research.  

 This is a curated list of awesome table structure recognition (TSR) research.Including **sota models**, influential papers, popular datasets and open-source **codes**. Continuously updating.

## Popular Datasets

|  Name      | Tables | Data Type | TD |  TSR | TCR |  Year|

|  ----      | ----    | ---- | ---- | ---- | ---- |  ----|

| [ICDAR2013](https://paperswithcode.com/dataset/icdar-2013)                       | 156   | Digital | √ | √ | √ |2013|

| [SciTSR](https://github.com/Academic-Hammer/SciTSR)                              | 15K   | Digital | × | √ | √ |2019|

| [TableBank](https://doc-analysis.github.io/tablebank-page/)                      | 417K  | Digital | √ | × | × |2020|

| [TableBank](https://doc-analysis.github.io/tablebank-page/)                      | 145K  | Digital | × | √ | × |2020|

| [PubTabNet](https://github.com/ibm-aur-nlp/PubTabNet)                            | 1M+   | Digital | × | √ | √ |2020|

| [PubTables-1M](https://github.com/microsoft/table-transformer?tab=readme-ov-file)| 1M+   | Digital | √ | √ | × |2021|

| [FinbTabNet](https://developer.ibm.com/exchanges/data/all/fintabnet/)            | 91596 | Digital | × | √ | √ |2021|

| [WTW](https://github.com/wangwen-whu/WTW-Dataset)                                | 14581 | Both    | × | √ | × |2021|  

| [SynthTabNet](https://github.com/IBM/SynthTabNet)                                | 600K  | Digital | × | √ | √ |2022|

| [TabRecSet](https://github.com/MaxKinny/TabRecSet)                               | 38177 | Both    | √ | √ | √ |2023|

| [iFLYTAB](https://github.com/ZZR8066/SEMv2?tab=readme-ov-file)                   | 12104 | Both    | √ | √ | × |2023|

**TD** means **T**able **D**etection  

**TSR** means **T**able **S**tructure **R**ecognition  

**TCD** means **T**able **C**ontent **R**ecognition  

**Both** means including both digital and physical data 

## SOTA Models 

  

    Method Type

    Method Name

    Citation Count

    Year

    Venue

    Open Source

  

  

    Bottom-up

    Res2TIM

    37

    2019

    ICDAR

    √

  

  

    CascadeTabNet

    182

    2020

    CVPR

    √

  

  

    TabStruct-Net

    87

    2020

    ECCV

    

  

  

    LGPMA

    63

    2021

    ICDAR

    √

  

  

    Cycle-CenterNet

    39

    2021

    ICCV

    

  

  

    TGRNet

    42

    2021

    ICCV

    √

  

  

    FLAG-NET

    30

    2021

    MM

    

  

  

    GTE

    116

    2021

    WACV

    

  

  

    NCGM

    25

    2022

    CVPR

    

  

  

    LORE

    7

    2023

    AAAI

    

  

  

    Image2Markup

    EDD

    171

    2020

    ECCV

    √

  

  

    TableMaster

    34

    2021

    ICDAR

    √

  

  

    TableFormer

    41

    2022

    CVPR

    

  

  

    VAST

    12

    2023

    CVPR

    

  

  

    UniTable

    

    2024

    

    √

  

  

    OminParser

    

    2024

    CVPR

    √

  

  

    Split-and-Merge Based

    SPLERGE

    91

    2019

    ICDAR

    √

  

  

    SEM

    40

    2022

    PR

    √

  

  

    TSRFormer

    20

    2022

    MM

    

  

  

    RobusTabNet

    32

    2023

    PR

    

  

  

    SEMv2

    3

    2024

    PR

    √

  

  

    TSRFormer-DQ-DETR

     

    2024

    PR

     

  

  

    Others

    TableNet

    188

    2019

    ICDAR

    √

  

  

    DETR

    60

    2022

    CVPR

    √

  

  

    TRACE

    3

    2023

    ICDAR

    √

  

## Influential Papers  

### CVPR 2024 

 + OMNIPARSER: A Unified Framework for Text Spotting, Key Information Extraction and Table Recognition-[Paper](https://arxiv.org/abs/2403.19128),[code]( https://github.com/AlibabaResearch/AdvancedLiterateMachinery/tree/main/OCR/OmniParser)

### PR 2024 

 + SEMv2: Table Separation Line Detection Based on Conditional Convolution-[Paper](https://www.semanticscholar.org/paper/SEMv2%3A-Table-Separation-Line-Detection-Based-on-Zhang-Hu/c78daabab3666d08d945098bc462f882b78803fd),

    [code](https://github.com/ZZR8066/SEMv2)

 + Robust table structure recognition with dynamic queries enhanced detection transformer-[Paper](https://www.sciencedirect.com/science/article/abs/pii/S0031320323005150)

### CVPR 2023  

  + Improving Table Structure Recognition with Visual-Alignment Sequential Coordinate Modeling-[Paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Huang_Improving_Table_Structure_Recognition_With_Visual-Alignment_Sequential_Coordinate_Modeling_CVPR_2023_paper.pdf)

### AAAI 2023  

  + LORE: Logical Location Regression Network for Table Structure Recognition=[Paper](https://ojs.aaai.org/index.php/AAAI/article/view/25402/25174)

### PR 2023  

  + Robust Table Detection and Structure Recognition from Heterogeneous Document Images-[Paper](https://www.sciencedirect.com/science/article/abs/pii/S0031320322004861)

  + Scene table structure recognition with segmentation collaboration and alignment-[Paper](https://www.sciencedirect.com/science/article/abs/pii/S0167865522003828?via%3Dihub)

### ACL 2023 

 + TableVLM: Multi-modal Pre-training for Table Structure Recognition-[Paper](https://aclanthology.org/2023.acl-long.137/) 

### ICDAR 2023  

  + TRACE: Table Reconstruction Aligned to Corner and Edges-[Paper](https://link.springer.com/chapter/10.1007/978-3-031-41734-4_29)

  + Aligning benchmark datasets for table structure recognition-[Paper](https://link.springer.com/chapter/10.1007/978-3-031-41734-4_23)

  + Optimized Table Tokenization for Table Structure Recognition-[Paper](https://link.springer.com/chapter/10.1007/978-3-031-41679-8_3)

### CVPR 2022

  + Neural Collaborative Graph Machines for Table Structure Recognition-[Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Liu_Neural_Collaborative_Graph_Machines_for_Table_Structure_Recognition_CVPR_2022_paper.pdf)

  + TableFormer: Table Structure Understanding with Transformers-[Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Nassar_TableFormer_Table_Structure_Understanding_With_Transformers_CVPR_2022_paper.pdf)

  + PubTables-1M: Towards comprehensive table extraction from unstructured documents-[Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Smock_PubTables-1M_Towards_Comprehensive_Table_Extraction_From_Unstructured_Documents_CVPR_2022_paper.pdf),

    [code](https://github.com/microsoft/table-transformer)

### PR 2022  

  + Split, Embed and Merge: An accurate table structure recognizer-[Paper](https://www.sciencedirect.com/science/article/abs/pii/S0031320322000462)

### WACV 2022  

  + Visual Understanding of Complex Table Structures from Document Images-[Paper](https://openaccess.thecvf.com/content/WACV2022/papers/Raja_Visual_Understanding_of_Complex_Table_Structures_From_Document_Images_WACV_2022_paper.pdf)

### MM 2022  

  + TSRFormer: Table Structure Recognition with Transformers-[Paper](https://dl.acm.org/doi/abs/10.1145/3503161.3548038)

### ICCV 2021  

  + Parsing Table Structures in the Wild-[Paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Long_Parsing_Table_Structures_in_the_Wild_ICCV_2021_paper.pdf)

  + TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition-[Paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Xue_TGRNet_A_Table_Graph_Reconstruction_Network_for_Table_Structure_Recognition_ICCV_2021_paper.pdf),

    [code](https://github.com/xuewenyuan/TGRNet)

### WACV 2021  

  + Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context-[Paper](https://openaccess.thecvf.com/content/WACV2021/papers/Zheng_Global_Table_Extractor_GTE_A_Framework_for_Joint_Table_Identification_WACV_2021_paper.pdf)

### MM 2021  

  + Show, Read and Reason: Table Structure Recognition with Flexible Context Aggregator-[Paper](https://dl.acm.org/doi/abs/10.1145/3474085.3481534)

### ICDAR 2021  

  + LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment-[Paper](https://link.springer.com/chapter/10.1007/978-3-030-86549-8_7)

  + PINGAN-VCGROUP’S SOLUTION FOR ICDAR 2021 COMPETITION ON SCIENTIFIC LITERATURE PARSING TASK B:TABLE RECOGNITION TO HTML-[Paper](https://www.semanticscholar.org/paper/PingAn-VCGroup%27s-Solution-for-ICDAR-2021-on-Table-He-Qi/754087ddb922b22873c20b3b4eec3272898326d9),

    [code](https://github.com/JiaquanYe/TableMASTER-mmocr)

  + TabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables-[Paper](https://link.springer.com/chapter/10.1007/978-3-030-86331-9_36)

### CVPRW 2020  

  + CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents-[Paper](https://openaccess.thecvf.com/content_CVPRW_2020/papers/w34/Prasad_CascadeTabNet_An_Approach_for_End_to_End_Table_Detection_and_CVPRW_2020_paper.pdf),

    [code](https://github.com/DevashishPrasad/CascadeTabNet)

### ECCV 2020  

  + Image-based table recognition: data, model, and evaluation-[Paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123660562.pdf)

  + Table Structure Recognition using Top-Down and Bottom-Up Cues-[Paper](https://link.springer.com/chapter/10.1007/978-3-030-58604-1_5)

### LERC 2020  

  + TableBank: Table Benchmark for Image-based Table Detection and Recognition-[Paper](https://aclanthology.org/2020.lrec-1.236/)

### ICDAR 2019  

  + Challenges in end-to-end neural scientific table recognition-[Paper](https://ieeexplore.ieee.org/document/8978078)

  + Deep Splitting and Merging for Table Structure Decomposition-[Paper](https://ieeexplore.ieee.org/document/8977975)

  + DeepTabStR: Deep Learning based Table Structure Recognition-[Paper](https://ieeexplore.ieee.org/document/8978137)

  + Rethinking Table Recognition using Graph Neural Networks-[Paper](https://www.computer.org/csdl/proceedings-article/icdar/2019/301400a142/1h81qHhrzaM)

  + ReS2TIM: Reconstruct Syntactic Structures from Table Images-[Paper](https://ieeexplore.ieee.org/document/8978027)

  + TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images-[Paper](https://www.computer.org/csdl/proceedings-article/icdar/2019/301400a128/1h81vwkHTwY),[code](https://github.com/AmanSavaria1402/TableNet),[model](https://drive.google.com/file/d/11cl-QP5xsYmuM-IwCtc1psMH14bb7kFx/view)

## Others  

#### 2024

 + UniTable: Towards a Unified Framework for Table Structure Recognition via Self-Supervised Pretraining-[Paper](https://arxiv.org/abs/2403.04822) 

#### 2023

  + A large-scale dataset for end-to-end table recognition in the wild-[Paper](https://www.nature.com/articles/s41597-023-01985-8),[code](https://github.com/MaxKinny/TabRecSet)

#### 2021  

  + Multi-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 Representations-[Paper](https://link.springer.com/chapter/10.1007/978-3-030-87626-5_8),

    [code](https://github.com/Psarpei/Multi-Type-TD-TSR)

## Surveys 

 + **[ICDAR 2023]** A Study on Reproducibility and Replicability of Table Structure Recognition Methods-[Paper](https://link.springer.com/chapter/10.1007/978-3-031-41679-8_1)

 + Deep Learning for Table Detection and Structure Recognition: A Survey-[Paper](https://dl.acm.org/doi/abs/10.1145/3657281)

## Star History

[![Star History Chart](https://api.star-history.com/svg?repos=MathamPollard/awesome-table-structure-recognition&type=Date)](https://star-history.com/#MathamPollard/awesome-table-structure-recognition&Date)