anikettable

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.

Using deep-leaning detect tables in the documet image

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

Table Detection using Deep Learning FasterRCNN

SegNet + CRF as RNN

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

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

Convolutional LSTM for video segmentation with Keras

Graphical Object Detection in Document Images

Scene Text Detection with Learned Anchor

Deep learning based page layout analysis

PyTorch Implementations for DeeplabV3 and PSPNet

Visualization techiques for deep learning neural networks using Keras

Tools for extracting tables and texts from papers

Tools for extracting tables and texts from papers