handwritten text recognition on IAM handwriting dataset
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Updated
Mar 15, 2020 - Jupyter Notebook
handwritten text recognition on IAM handwriting dataset
This repository implements the the encoder and decoder model with attention model for OCR
Text-DIAE: A Self-Supervised Degradation Invariant Autoencoders for Text Recognition and Document Enhancement - AAAI 2023
Pytorch YoloV2 implementation from scratch
Official implementation for ECCV 2022 paper "CoMER: Modeling Coverage for Transformer-based Handwritten Mathematical Expression Recognition"
Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"
Code for our paper: "Where's Waldo: Diffusion Features For Personalized Segmentation and Retrieval".
SAR: A Simple and Strong Baseline for Irregular Text Recognition
Implementation of the paper "Full Page Handwriting Recognition via Image to Sequence Extraction" by Singh et al. (2021).
Attention-based sequence-to-sequence model for handwritten word recognition
PyTorch code of my ICDAR 2021 paper Vision Transformer for Fast and Efficient Scene Text Recognition (ViTSTR)
Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022
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