A dual-stream fully convolutional network produces competitive character error rates on IAM and RIMES handwriting datasets while avoiding CTC, dictionaries, and heavy preprocessing.
An analysis of sentence boundary detection systems for english and portuguese documents
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Fully Convolutional Networks for Handwriting Recognition
A dual-stream fully convolutional network produces competitive character error rates on IAM and RIMES handwriting datasets while avoiding CTC, dictionaries, and heavy preprocessing.