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

Code for paper Unsupervised Object Segmentation by Redrawing

Text Detection by RetinaNet with PyTorch (Code will be released soon)

3rd of Task3 and 4th of Task4 of StructSeg2019 competition - MICCAI 2019

TensorFlow implementation of a segmentation system for document images.

This is a tool for pixel wise segmentation. This is developed in order to do use cases like page extraction, textline , word and structure recognition of library documents.

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)

Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

E2E-MLT - an Unconstrained End-to-End Method for Multi-Language Scene Text

Translate images to unseen domains in the test time with few example images.

Text detection model that combines Retinanet with textboxes++ for OCR

Detect text in natural images with SSD, Single Shot Detection

SUPERT: Unsupervised multi-document summarization evaluation & generation

ICCV2019 - A painting AI that can reproduce paintings stroke by stroke using deep reinforcement learning.