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Datasets

Greatest papers with code

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

27 Apr 2020DevashishPrasad/CascadeTabNet

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.

IMAGE AUGMENTATION TABLE DETECTION TABLE RECOGNITION TRANSFER LEARNING

TableBank: A Benchmark Dataset for Table Detection and Recognition

LREC 2020 doc-analysis/TableBank

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 DETECTION

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

12 Dec 2019holms-ur/fine-tuning

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.

OBJECT DETECTION TABLE DETECTION

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

25 Aug 2020mdv3101/CDeCNet

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

TABLE DETECTION

A framework for information extraction from tables in biomedical literature

26 Feb 2019nikolamilosevic86/TabInOut

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

TABLE DETECTION

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

6 Jan 2020tomassosorio/OCR_tablenet

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.

TABLE DETECTION TRANSFER LEARNING

Table understanding in structured documents

22 Mar 2019Darthholi/similarity-models

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.

TABLE DETECTION