Masked and permuted implicit context learning for scene text recognition
Scene Text Recognition (STR) is challenging because of various text styles, shapes, and
backgrounds. Although the integration of linguistic information enhances models' …
backgrounds. Although the integration of linguistic information enhances models' …
PIEED: Position information enhanced encoder-decoder framework for scene text recognition
X Ma, K He, D Zhang, D Li - Applied Intelligence, 2021 - Springer
Scene text recognition (STR) technology has a rapid development with the rise of deep
learning. Recently, the encoder-decoder framework based on attention mechanism is widely …
learning. Recently, the encoder-decoder framework based on attention mechanism is widely …
Pimnet: a parallel, iterative and mimicking network for scene text recognition
Nowadays, scene text recognition has attracted more and more attention due to its various
applications. Most state-of-the-art methods adopt an encoder-decoder framework with …
applications. Most state-of-the-art methods adopt an encoder-decoder framework with …
Masked vision-language transformers for scene text recognition
J Wu, Y Peng, S Zhang, W Qi, J Zhang - arXiv preprint arXiv:2211.04785, 2022 - arxiv.org
Scene text recognition (STR) enables computers to recognize and read the text in various
real-world scenes. Recent STR models benefit from taking linguistic information in addition …
real-world scenes. Recent STR models benefit from taking linguistic information in addition …
Sequential alignment attention model for scene text recognition
Scene text recognition has been a hot research topic in computer vision due to its various
applications. The state-of-the-art solutions usually depend on the attention-based encoder …
applications. The state-of-the-art solutions usually depend on the attention-based encoder …
PMMN: pre-trained multi-modal network for scene text recognition
Y Zhang, Z Fu, F Huang, Y Liu - Pattern Recognition Letters, 2021 - Elsevier
Abstract Scene Text Recognition (STR) task needs to consume large-amount data to
develop a powerful recognizer, including visual data like images and linguistic data like …
develop a powerful recognizer, including visual data like images and linguistic data like …
Focus on the Whole Character: Discriminative Character Modeling for Scene Text Recognition
Recently, scene text recognition (STR) models have shown significant performance
improvements. However, existing models still encounter difficulties in recognizing …
improvements. However, existing models still encounter difficulties in recognizing …
A new perspective for flexible feature gathering in scene text recognition via character anchor pooling
Irregular scene text recognition has attracted much attention from the research community,
mainly due to the complexity of shapes of text in natural scene. However, recent methods …
mainly due to the complexity of shapes of text in natural scene. However, recent methods …
A two-level rectification attention network for scene text recognition
Scene text recognition is a challenging task in the computer vision field due to the diversity
of text styles and the complexity of the image backgrounds. In recent decades, numerous …
of text styles and the complexity of the image backgrounds. In recent decades, numerous …
An extended attention mechanism for scene text recognition
Z Xiao, Z Nie, C Song, AT Chronopoulos - Expert Systems with Applications, 2022 - Elsevier
Scene text recognition (STR) refers to obtaining text information from natural text images.
The task is more challenging than the optical character recognition (OCR) due to the …
The task is more challenging than the optical character recognition (OCR) due to the …