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

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。

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)

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).

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

FCDenseNet implementation for Table Localization

PKU Team Zero's code for participation in ICDAR2019 ArT Recognition track (Champion)

This repository provides train＆test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking table.

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

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