SOTAVerified

Table Detection

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

Papers

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Showing 26–50 of 58 papers

TitleStatusHype
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