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Found 2 papers, 1 papers with code
Rethinking Text Line Recognition Models
Unlike the more common Transformer-based models, this architecture can handle inputs of arbitrary length, a requirement for universal line recognition.
Ranked #2 on
Handwritten Text Recognition
on IAM
(using extra training data)
A NOVEL VARIATIONAL FAMILY FOR HIDDEN NON-LINEAR MARKOV MODELS
In the case of sequential data, closed-form inference is possible when the transition and observation functions are linear.
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