Existing techniques for text detection can be broadly classified into tw...
Domain generalization (DG) aims to learn a generalized model to an unsee...
Linguistic knowledge has brought great benefits to scene text recognitio...
Understanding documents from their visual snapshots is an emerging probl...
Scene text editing (STE), which converts a text in a scene image into th...
For successful scene text recognition (STR) models, synthetic text image...
Domain generalization aims to learn a generalizable model to unseen targ...
Knowledge distillation extracts general knowledge from a pre-trained tea...
A scene text spotter is composed of text detection and recognition modul...
Despite the recent success of text detection and recognition methods,
ex...
Scene text recognition (STR) is the task of recognizing character sequen...
A long user history inevitably reflects the transitions of personal inte...
Successful application processing sequential data, such as text and spee...
Many new proposals for scene text recognition (STR) models have been
int...
This paper proposes Dirichlet Variational Autoencoder (DirVAE) using a
D...
Recently, the training with adversarial examples, which are generated by...