DAN: a Segmentation-free Document Attention Network for Handwritten Document Recognition
This repository allows to use the DAN model, a Segmentation-free Document Attention Network for Handwritten Document Recognition. Both training and inference are possible using the multiple commands exposed.
The model uses a character-level attention to handle slanted lines:
Click here to learn more about the model and how it fares against SOTA models.
Get started with DAN now!