Corpus ID: 16734174

Deep Structured Output Learning for Unconstrained Text Recognition

@article{Jaderberg2015DeepSO,
  title={Deep Structured Output Learning for Unconstrained Text Recognition},
  author={Max Jaderberg and K. Simonyan and A. Vedaldi and Andrew Zisserman},
  journal={CoRR},
  year={2015},
  volume={abs/1412.5903}
}
  • Max Jaderberg, K. Simonyan, +1 author Andrew Zisserman
  • Published 2015
  • Computer Science
  • CoRR
  • 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 model, taking the whole word image as a single input. The unaries of the CRF are provided by a CNN that predicts characters at each position of the output, while higher order terms are provided by… CONTINUE READING
    165 Citations
    Sequence to sequence learning for unconstrained scene text recognition
    • 1
    • Highly Influenced
    • PDF
    Reading Scene Text in Deep Convolutional Sequences
    • 163
    • PDF
    Attention and Language Ensemble for Scene Text Recognition with Convolutional Sequence Modeling
    • 22
    • Highly Influenced
    Visual Attention Models for Scene Text Recognition
    • 30
    • Highly Influenced
    • PDF
    Learning to Read by Spelling: Towards Unsupervised Text Recognition
    • 8
    • PDF
    LEWIS: Latent Embeddings for Word Images and Their Semantics
    • 17
    • PDF
    RNTR-Net: A Robust Natural Text Recognition Network
    • 1
    • PDF
    Attention-Based Deep Neural Network and Its Application to Scene Text Recognition
    • H. He, Jiehan Li
    • Computer Science
    • 2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN)
    • 2019
    Deep neural network with attention model for scene text recognition
    • 3

    References

    SHOWING 1-10 OF 28 REFERENCES
    Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition
    • 506
    • PDF
    Reading Text in the Wild with Convolutional Neural Networks
    • 680
    • PDF
    Deep Features for Text Spotting
    • 480
    • PDF
    End-to-end text recognition with convolutional neural networks
    • 695
    • Highly Influential
    • PDF
    Scene Text Recognition using Higher Order Language Priors
    • 437
    • Highly Influential
    • PDF
    Supervised mid-level features for word image representation
    • A. Gordo
    • Computer Science
    • 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
    • 2015
    • 82
    • PDF
    Large-Lexicon Attribute-Consistent Text Recognition in Natural Images
    • 111
    • PDF
    Label embedding for text recognition
    • 51
    • PDF
    Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks
    • 485
    • Highly Influential
    • PDF
    Word Spotting and Recognition with Embedded Attributes
    • 302
    • PDF