Segmentation models with pretrained backbones. Keras.
-
Updated
May 13, 2019 - Python
Segmentation models with pretrained backbones. Keras.
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)
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.
Keras implementation of Deeplab v3+ with pretrained weights
[ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance
RMB code recognition, TextLine Recogintion, Text detection, anchor-free
Add a description, image, and links to the aniketpaper topic page so that developers can more easily learn about it.
To associate your repository with the aniketpaper topic, visit your repo's landing page and select "manage topics."