Table Detection
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Benchmarks
Most implemented
TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images
DiT: Self-supervised Pre-training for Document Image Transformer
Deep learning for table detection and structure recognition: A survey
CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images
CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents
SpreadsheetLLM: Encoding Spreadsheets for Large Language Models
Papers
Structured Prediction for Scalable Spreadsheet Table Understanding: From Cell Types to Table Ranges (Extended Version)
Spreadsheets are a primary medium for publishing tabular data, yet automatically extracting structured content from them remains difficult due to heterogeneous layouts, diverse file formats, and inconsistent organization…
Structured PredictionTable DetectionActive Learning for Cascaded Object Detection: Balancing Coverage and Uncertainty in Table Extraction Pipelines
Table extraction from business documents relies on a cascaded pipeline where Table Detection (TD) first localizes tables and Table Structure Recognition (TSR) then recovers their internal layout. Building task-specific t…
Image ClassificationObject DetectionTable DetectionActive LearningLow-Resource Heuristics for Bahnaric Optical Character Recognition Improvement
Bahnar, a minority language spoken across Vietnam, Cambodia, and Laos, faces significant preservation challenges due to limited research and data availability. This study addresses the critical need for accurate digitiza…
Information RetrievalTable DetectionTable Detection with Active Learning
Efficient data annotation remains a critical challenge in machine learning, particularly for object detection tasks requiring extensive labeled data. Active learning (AL) has emerged as a promising solution to minimize a…
Object DetectionActive LearningTable DetectionTASER: Table Agents for Schema-guided Extraction and Recommendation
Real-world financial filings report critical information about an entity's investment holdings, essential for assessing that entity's risk, profitability, and relationship profile. Yet, these details are often buried in …
Table DetectionFrom Surface to Semantics: Semantic Structure Parsing for Table-Centric Document Analysis
Documents are core carriers of information and knowl-edge, with broad applications in finance, healthcare, and scientific research. Tables, as the main medium for structured data, encapsulate key information and are amon…
Semantic ParsingTable RetrievalTable Detection