Table Detection

20 papers with code • 3 benchmarks • 9 datasets

Most implemented papers

TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images

tomassosorio/OCR_tablenet 6 Jan 2020

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.

CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents

DevashishPrasad/CascadeTabNet 27 Apr 2020

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.

CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images

mdv3101/CDeCNet 25 Aug 2020

Localizing page elements/objects such as tables, figures, equations, etc.

DiT: Self-supervised Pre-training for Document Image Transformer

microsoft/unilm 4 Mar 2022

We leverage DiT as the backbone network in a variety of vision-based Document AI tasks, including document image classification, document layout analysis, table detection as well as text detection for OCR.

TableBank: A Benchmark Dataset for Table Detection and Recognition

doc-analysis/TableBank LREC 2020

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.

Table understanding in structured documents

Darthholi/similarity-models 22 Mar 2019

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.

PubTables-1M: Towards comprehensive table extraction from unstructured documents

microsoft/table-transformer CVPR 2022

We demonstrate that these improvements lead to a significant increase in training performance and a more reliable estimate of model performance at evaluation for table structure recognition.

A framework for information extraction from tables in biomedical literature

nikolamilosevic86/TabInOut 26 Feb 2019

The scientific literature is growing exponentially, and professionals are no more able to cope with the current amount of publications.

The Benefits of Close-Domain Fine-Tuning for Table Detection in Document Images

holms-ur/fine-tuning 12 Dec 2019

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.

TableBank: Table Benchmark for Image-based Table Detection and Recognition

doc-analysis/TableBank LREC 2020

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.