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.
Gated convolutional recurrent neural net- works for multilingual handwriting recognition,
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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.