4 papers · 1 filter
Manifold Mixup improves text recognition with CTC loss
Bastien Moysset, Ronaldo Messina
Modern handwritten text recognition techniques employ deep recurrent neural networks. The use of these techniques is especially efficient when a large amount of annotated data is a…
Adversarial Generation of Handwritten Text Images Conditioned on Sequences
Eloi Alonso, Bastien Moysset, Ronaldo Messina
State-of-the-art offline handwriting text recognition systems tend to use neural networks and therefore require a large amount of annotated data to be trained. In order to partiall…
Are 2D-LSTM really dead for offline text recognition?
Bastien Moysset, Ronaldo Messina
There is a recent trend in handwritten text recognition with deep neural networks to replace 2D recurrent layers with 1D, and in some cases even completely remove the recurrent lay…
Scan, Attend and Read: End-to-End Handwritten Paragraph Recognition with MDLSTM Attention
Théodore Bluche, Jérôme Louradour, Ronaldo Messina
We present an attention-based model for end-to-end handwriting recognition. Our system does not require any segmentation of the input paragraph. The model is inspired by the differ…