ICDAR2019 ReCTS脱机单字识别任务部分代码，复现改进了alexnet resnet等网络，进行了图像增强、分割，比赛结果排名第11。

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

A Unet based deeplearning model to line/box/spurious artifacts from text images. Unsupervised training.

patchwise semantic segmentation

This tool can detect textline of given image and write the output in a page xml data.

Document Layout Analysis repos for development with PdfPig.

FreeAnchor: Learning to Match Anchors for Visual Object Detection (NeurIPS 2019)

DANet: Divergent Activation for Weakly Supervised Object Localization，in ICCV 2019

In-depth tutorials for implementing deep learning models on your own with PyTorch.

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

very fast CTPN

Combine Textboxes++ and RetinaNet which used to replace the original 'neck' network SSD for scene text localization.

Code and data for the paper at http://arxiv.org/abs/2004.07317

Distorted Document Images dataset (DDI-100).

An Implementation of the FOTS: Fast Oriented Text Spotting with a Unified Network

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.

Adversarial Generation of Handwritten Text Images

Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19