An awesome semantic segmentation model that runs in real time
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Updated
Aug 10, 2019 - Jupyter Notebook
An awesome semantic segmentation model that runs in real time
Code and Data for ICDAR 2019 paper: Content Extraction from Lecture Video via Speaker Action Classification based on Pose Information
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
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.
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