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

Trainable end-to-end full page text recognition

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

Table Detection using Deep Learning FasterRCNN

ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction

Segmentation models with pretrained backbones. Keras.

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

FOTS text detection branch reimplementation, hmean: 83.3%

Keras implementation of Character Region Awareness for Text Detection (CRAFT)

Keras implementation of Deeplab v3+ with pretrained weights

Segmentation of a text-line into words.

[ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance