Table Detection
20 papers with code • 3 benchmarks • 9 datasets
Benchmarks
These leaderboards are used to track progress in Table Detection
| Trend | Dataset | Best Model | Paper | Code | Compare |
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ICDAR 2013
FUNSD
SciTSR
TableBank
PubTables-1M
IIIT-AR-13K
TNCR Dataset
ICDAR 2019
STDW
Latest papers
Flexible Table Recognition and Semantic Interpretation System
Moreover, to incorporate the extraction of semantic information, we develop a graph-based table interpretation method.
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
It utilizes state-of-the-art deep learning models for table detection and differentiates between 3 different types of tables based on the tables' borders.
CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images
mdv3101/CDeCNet
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Localizing page elements/objects such as tables, figures, equations, etc.
TableBank: Table Benchmark for Image-based Table Detection and Recognition
We present TableBank, a new image-based table detection and recognition dataset built with novel weak supervision from Word and Latex documents on the internet.
CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents
DevashishPrasad/CascadeTabNet
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In this paper, we present an improved deep learning-based end to end approach for solving both problems of table detection and structure recognition using a single Convolution Neural Network (CNN) model.
TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images
This includes accurate detection of the tabular region within an image, and subsequently detecting and extracting information from the rows and columns of the detected table.
The Benefits of Close-Domain Fine-Tuning for Table Detection in Document Images
A correct localisation of tables in a document is instrumental for determining their structure and extracting their contents; therefore, table detection is a key step in table understanding.
Table understanding in structured documents
Darthholi/similarity-models
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We will work on our newly presented dataset of pro forma invoices, invoices and debit note documents using this representation and propose multiple baselines to solve this labeling problem.
TableBank: A Benchmark Dataset for Table Detection and Recognition
We present TableBank, a new image-based table detection and recognition dataset built with novel weak supervision from Word and Latex documents on the internet.
A framework for information extraction from tables in biomedical literature
The scientific literature is growing exponentially, and professionals are no more able to cope with the current amount of publications.
