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Scene text detection and recognition: The deep learning era
With the rise and development of deep learning, computer vision has been tremendously
transformed and reshaped. As an important research area in computer vision, scene text …
transformed and reshaped. As an important research area in computer vision, scene text …
Text recognition in the wild: A survey
The history of text can be traced back over thousands of years. Rich and precise semantic
information carried by text is important in a wide range of vision-based application …
information carried by text is important in a wide range of vision-based application …
What is wrong with scene text recognition model comparisons? dataset and model analysis
Many new proposals for scene text recognition (STR) models have been introduced in
recent years. While each claim to have pushed the boundary of the technology, a holistic …
recent years. While each claim to have pushed the boundary of the technology, a holistic …
Seed: Semantics enhanced encoder-decoder framework for scene text recognition
Scene text recognition is a hot research topic in computer vision. Recently, many recognition
methods based on the encoder-decoder framework have been proposed, and they can …
methods based on the encoder-decoder framework have been proposed, and they can …
Esir: End-to-end scene text recognition via iterative image rectification
Automated recognition of texts in scenes has been a research challenge for years, largely
due to the arbitrary text appearance variation in perspective distortion, text line curvature …
due to the arbitrary text appearance variation in perspective distortion, text line curvature …
Abcnet v2: Adaptive bezier-curve network for real-time end-to-end text spotting
End-to-end text-spotting, which aims to integrate detection and recognition in a unified
framework, has attracted increasing attention due to its simplicity of the two complimentary …
framework, has attracted increasing attention due to its simplicity of the two complimentary …
Decoupled attention network for text recognition
Text recognition has attracted considerable research interests because of its various
applications. The cutting-edge text recognition methods are based on attention mechanisms …
applications. The cutting-edge text recognition methods are based on attention mechanisms …
Show, attend and read: A simple and strong baseline for irregular text recognition
Recognizing irregular text in natural scene images is challenging due to the large variance
in text appearance, such as curvature, orientation and distortion. Most existing approaches …
in text appearance, such as curvature, orientation and distortion. Most existing approaches …
Scene text telescope: Text-focused scene image super-resolution
Image super-resolution, which is often regarded as a preprocessing procedure of scene text
recognition, aims to recover the realistic features from a low-resolution text image. It has …
recognition, aims to recover the realistic features from a low-resolution text image. It has …
Robustscanner: Dynamically enhancing positional clues for robust text recognition
The attention-based encoder-decoder framework has recently achieved impressive results
for scene text recognition, and many variants have emerged with improvements in …
for scene text recognition, and many variants have emerged with improvements in …