HTR-JAND reports state-of-the-art character error rates of 1.23% on IAM, 1.02% on RIMES, and 2.02% on Bentham by combining an efficient CNN-attention hybrid with knowledge distillation and a T5 error-correction stage.
Improving cnn-rnn hybrid networks for handwriting recognition,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2024 1verdicts
REJECT 1roles
background 1polarities
support 1representative citing papers
citing papers explorer
-
HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation
HTR-JAND reports state-of-the-art character error rates of 1.23% on IAM, 1.02% on RIMES, and 2.02% on Bentham by combining an efficient CNN-attention hybrid with knowledge distillation and a T5 error-correction stage.