ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction
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Updated
Apr 25, 2019 - Python
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。
patchwise semantic segmentation
ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation (CVPR20)
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.
A Unet based deeplearning model to line/box/spurious artifacts from text images. Unsupervised training.
This tool can detect textline of given image and write the output in a page xml data.
A multi-layer perceptron network for artificial text and character generation
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
DANet: Divergent Activation for Weakly Supervised Object Localization,in ICCV 2019
Implementation of our paper 'PixelLink: Detecting Scene Text via Instance Segmentation' in AAAI2018
FOTS text detection branch reimplementation, hmean: 83.3%
Document Layout Analysis repos for development with PdfPig.
FreeAnchor: Learning to Match Anchors for Visual Object Detection (NeurIPS 2019)
Distorted Document Images dataset (DDI-100).
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
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