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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...
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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Keyword spotting (KWS) in historical documents is an important tool for ...
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09/21/2022
A Few Shot Multi-Representation Approach for N-gram Spotting in Historical Manuscripts
Despite recent advances in automatic text recognition, the performance r...
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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...
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01/25/2022
DocEnTr: An End-to-End Document Image Enhancement Transformer
Document images can be affected by many degradation scenarios, which cau...
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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...
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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...
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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...
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10/17/2020
DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement
Documents often exhibit various forms of degradation, which make it hard...
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09/26/2020