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Table Detection

Image credit:Table Detection in the Wild: A Novel Diverse Table Detection Dataset and Method

Papers

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Showing 1–50 of 58 papers

TitleStatusHype
Aligning benchmark datasets for table structure recognitionCode4
SpreadsheetLLM: Encoding Spreadsheets for Large Language ModelsCode2
TabPedia: Towards Comprehensive Visual Table Understanding with Concept SynergyCode2
PubTables-1M: Towards comprehensive table extraction from unstructured documentsCode2
TableBank: A Benchmark Dataset for Table Detection and RecognitionCode2
TableBank: Table Benchmark for Image-based Table Detection and RecognitionCode2
CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documentsCode2
UniHDSA: A Unified Relation Prediction Approach for Hierarchical Document Structure AnalysisCode2
CTE: A Dataset for Contextualized Table ExtractionCode1
TableSense: Spreadsheet Table Detection with Convolutional Neural NetworksCode1
TNCR: Table Net Detection and Classification DatasetCode1
TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document ImagesCode1
Deep learning for table detection and structure recognition: A surveyCode1
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 RepresentationsCode1
CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document ImagesCode1
DiT: Self-supervised Pre-training for Document Image TransformerCode1
Doc2Graph: a Task Agnostic Document Understanding Framework based on Graph Neural NetworksCode1
ClusterTabNet: Supervised clustering method for table detection and table structure recognitionCode1
A large-scale dataset for end-to-end table recognition in the wildCode1
Revisiting Table Detection Datasets for Visually Rich Documents—0
Robust Table Detection and Structure Recognition from Heterogeneous Document Images—0
Schemaless Queries over Document Tables with Dependencies—0
Selective Fine-tuning on LLM-labeled Data May Reduce Reliance on Human Annotation: A Case Study Using Schedule-of-Event Table Detection—0
Semantic Table Detection with LayoutLMv3—0
Synthetic Data Augmentation for Table Detection: Re-evaluating TableNet's Performance with Automatically Generated Document Images—0
Vision Language Models for Spreadsheet Understanding: Challenges and Opportunities—0
A Comparative Study of PDF Parsing Tools Across Diverse Document Categories—0
A Conglomerate of Multiple OCR Table Detection and Extraction—0
CISOL: An Open and Extensible Dataset for Table Structure Recognition in the Construction Industry—0
Creating a Historical Migration Dataset from Finnish Church Records, 1800-1920—0
Current Status and Performance Analysis of Table Recognition in Document Images with Deep Neural Networks—0
DATa: Domain Adaptation-Aided Deep Table Detection Using Visual-Lexical Representations—0
Deep Structured Feature Networks for Table Detection and Tabular Data Extraction from Scanned Financial Document Images—0
Detecting Table Region in PDF Documents Using Distant Supervision—0
DEXTER: An end-to-end system to extract table contents from electronic medical health documents—0
DocStruct: A Multimodal Method to Extract Hierarchy Structure in Document for General Form Understanding—0
Document Structure Extraction using Prior based High Resolution Hierarchical Semantic Segmentation—0
End-to-End Semi-Supervised approach with Modulated Object Queries for Table Detection in Documents—0
Enhancing Vision-Language Pre-training with Rich Supervisions—0
Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context—0
IIIT-AR-13K: A New Dataset for Graphical Object Detection in Documents—0
Imagined-Trailing-Whitespace-Agnostic Levenshtein Distance For Plaintext Table Detection—0
On Cropped versus Uncropped Training Sets in Tabular Structure Detection—0
RAPTOR: Refined Approach for Product Table Object Recognition—0
TabSniper: Towards Accurate Table Detection & Structure Recognition for Bank Statements—0
TC-OCR: TableCraft OCR for Efficient Detection & Recognition of Table Structure & Content—0
TDeLTA: A Light-weight and Robust Table Detection Method based on Learning Text Arrangement—0
Towards End-to-End Semi-Supervised Table Detection with Deformable Transformer—0
Towards End-to-End Semi-Supervised Table Detection with Semantic Aligned Matching Transformer—0
TRACE: Table Reconstruction Aligned to Corner and Edges—0
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All datasetsICDAR2013ICDAR 2019STDW

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1cascadetabnetAvg F11—Unverified
2CDeCNetAvg F11—Unverified
3TableNetAvg F10.97—Unverified
#ModelMetricClaimedVerifiedStatus
1DiT-L (Cascade)Weighted Average F1-score96.55—Unverified
2DiT-B (Cascade)Weighted Average F1-score96.14—Unverified
#ModelMetricClaimedVerifiedStatus
1RetinaNetIoU0.5—Unverified
2Selective SearchIoU0.5—Unverified