Deep structured output learning for unconstrained text recognition
We develop a representation suitable for the unconstrained recognition of words in natural images: the general case of no fixed lexicon and unknown length. To this end we propose a convolutional neural network (CNN) based architecture which incorporates a Conditional Random Field (CRF) graphical mod...
| Hoofdauteurs: | , , , |
|---|---|
| Formaat: | Conference item |
| Taal: | English |
| Gepubliceerd in: |
International Conference on Learning Representations
2015
|