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ImpAcX_OnHW: Improving accuracy and explainability of handwriting recognition models

Authors :
Chang, Steven
Gold, Jonathan
Karabina, Koray
National Research Council of Canada. Digital Technologies
Publication Year :
2022
Publisher :
National Research Council of Canada, 2022.

Abstract

This project contains codes and information to help reproduce, verify and improve results as reported in our paper "Improving Accuracy and Explainability of Handwriting Recognition Models" available at https://arxiv.org/abs/2209.09102

Subjects

Subjects :
machine learning
apprentissage profond
apprentissage automatique
handwriting recognition
Reconnaissance de l'écriture manuscrite
deep learning

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.od......1674..f40d6932a36915dd010cc2f63fa10004

Tools

Authors Abstract Subjects Details