research
∙
03/24/2023
MSdocTr-Lite: A Lite Transformer for Full Page Multi-script Handwriting Recognition
The Transformer has quickly become the dominant architecture for various...
share
research
∙
03/16/2023
CSSL-MHTR: Continual Self-Supervised Learning for Scalable Multi-script Handwritten Text Recognition
Self-supervised learning has recently emerged as a strong alternative in...
research
∙
03/06/2023
ST-KeyS: Self-Supervised Transformer for Keyword Spotting in Historical Handwritten Documents
Keyword spotting (KWS) in historical documents is an important tool for ...
research
∙
03/09/2022
Text-DIAE: Degradation Invariant Autoencoders for Text Recognition and Document Enhancement
In this work, we propose Text-Degradation Invariant Auto Encoder (Text-D...
research
∙
01/25/2022
DocEnTr: An End-to-End Document Image Enhancement Transformer
Document images can be affected by many degradation scenarios, which cau...
research
∙
12/08/2021
Transformer-Based Approach for Joint Handwriting and Named Entity Recognition in Historical documents
The extraction of relevant information carried out by named entities in ...
research
∙
07/21/2021
Few Shots Is All You Need: A Progressive Few Shot Learning Approach for Low Resource Handwriting Recognition
Handwritten text recognition in low resource scenarios, such as manuscri...
research
∙
05/26/2021
Enhance to Read Better: An Improved Generative Adversarial Network for Handwritten Document Image Enhancement
Handwritten document images can be highly affected by degradation for di...
research
∙
05/11/2021
One-shot Compositional Data Generation for Low Resource Handwritten Text Recognition
Low resource Handwritten Text Recognition (HTR) is a hard problem due to...
research
∙
10/17/2020
DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement
Documents often exhibit various forms of degradation, which make it hard...
research
∙
09/26/2020