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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
PubTables-1M: Towards comprehensive table extraction from unstructured documentsCode2
SpreadsheetLLM: Encoding Spreadsheets for Large Language ModelsCode2
UniHDSA: A Unified Relation Prediction Approach for Hierarchical Document Structure AnalysisCode2
TabPedia: Towards Comprehensive Visual Table Understanding with Concept SynergyCode2
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
TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document ImagesCode1
TableSense: Spreadsheet Table Detection with Convolutional Neural NetworksCode1
CTE: A Dataset for Contextualized Table ExtractionCode1
Deep learning for table detection and structure recognition: A surveyCode1
TNCR: Table Net Detection and Classification DatasetCode1
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
Table understanding in structured documentsCode0
TRR360D: A dataset for 360 degree rotated rectangular box table detectionCode0
Flexible Table Recognition and Semantic Interpretation SystemCode0
Table Detection for Visually Rich Document ImagesCode0
Table Detection in the Wild: A Novel Diverse Table Detection Dataset and MethodCode0
A Review On Table Recognition Based On Deep LearningCode0
The Benefits of Close-Domain Fine-Tuning for Table Detection in Document ImagesCode0
A framework for information extraction from tables in biomedical literatureCode0
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
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
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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