Trainable end-to-end full page text recognition
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Updated
Jan 8, 2020 - Python
Trainable end-to-end full page text recognition
Code and Data for ICDAR 2019 paper: Content Extraction from Lecture Video via Speaker Action Classification based on Pose Information
Segmentation models with pretrained backbones. Keras.
deeplabv3plus (Google's new algorithm for semantic segmentation) in keras:Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
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)
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
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.
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