Image-based table cell detection: a new dataset and an improved detection method.

Table detection has been an interesting and challenging problem in the field of document analyses. Object detection algorithms such as Faster-RCNN has been exploited so many times to detect tables in the documents. This is just another experiment but with a different architecture which is Mask_RCNN.

deeplabv3plus (Google's new algorithm for semantic segmentation) in keras：Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Using deep-leaning detect tables in the documet image

Table Detection using Deep Learning FasterRCNN

Code for 'PolarMask: Single Shot Instance Segmentation with Polar Representation'

Convolutional LSTM for video segmentation with Keras

Graphical Object Detection in Document Images

SegNet + CRF as RNN

tableGAN is a synthetic data generation technique (Data Synthesis based on Generative Adversarial Networks paper) based on Generative Adversarial Network architecture (DCGAN).

This repository contains a 403 images dataset for table detection in documents.

Table Detection From Images Using Deep Learning

Document Understanding tools

This project uses open-cv with tesseract to detect and extract single level table from pdfs.

Deep learning based page layout analysis

Scene Text Detection with Learned Anchor

An awesome semantic segmentation model that runs in real time