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Spatial context-based Self-Supervised Learning for Handwritten Text Recognition
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DOI：10.1016/j.patrec.2025.05.014.png)
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Abstract
En 中文
• We investigate the performance of existing spatial context-based SSL methods for HTR. • We propose new methods within this family of SSL. • We advance the state of the art in SSL for HTR. • We highlight that HTR contains rich spatial information due to font and stroke style.
Keywords:
68T10
68T45
Self-Supervised Learning
Handwritten text recognition
Spatial Context
Journal
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3.3
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8.0K
Citations:
1.6W
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