Scene Text Recognition
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Benchmarks
ICDAR2013
SVT
ICDAR2015
CUTE80
IIIT5k
SVTP
ICDAR 2003
IC19-Art
WOST
COCO-Text
HOST
Uber-Text
MSDA
IC13
SVT-P
Most implemented
An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition
What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis
Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition
MASTER: Multi-Aspect Non-local Network for Scene Text Recognition
A Multi-Object Rectified Attention Network for Scene Text Recognition
Papers
Out-of-Length Scene Text Recognition: A Two-Axis Diagnosis and a Training-Free Fix
Scene Text Recognition (STR) models are trained almost exclusively on word crops of at most 25 characters, yet real deployments (signage, product labels, dense captions) require reading much longer text. This paper diagn…
Scene Text RecognitionAdvancing WordArt-Oriented Scene Text Recognition: Datasets and Methods
WordArt (artistic text) features highly customized fonts, textures, and layouts, making WordArt-oriented scene TExt Recognition (WATER) substantially more challenging than general Scene Text Recognition (STR). Existing S…
Scene Text RecognitionReading in the Dark: Low-light Scene Text Recognition
Accurate text recognition in low-light environments is essential for intelligent systems in applications ranging from autonomous vehicles to smart surveillance. However, challenges such as poor illumination and noise int…
Low-Light Image EnhancementScene Text RecognitionAutonomous VehiclesMulti-Modal Character Localization and Extraction for Chinese Text Recognition
Scene text recognition (STR) methods have demonstrated their excellent capability in English text images. However, due to the complex inner structures of Chinese and the extensive character categories, it poses challenge…
Scene Text RecognitionAn Effective Data Augmentation Method by Asking Questions about Scene Text Images
Scene text recognition (STR) and handwritten text recognition (HTR) face significant challenges in accurately transcribing textual content from images into machine-readable formats. Conventional OCR models often predict …
Handwritten Text RecognitionScene Text RecognitionData AugmentationWhat Is Wrong with Synthetic Data for Scene Text Recognition? A Strong Synthetic Engine with Diverse Simulations and Self-Evolution
Large-scale and categorical-balanced text data is essential for training effective Scene Text Recognition (STR) models, which is hard to achieve when collecting real data. Synthetic data offers a cost-effective and perfe…
Scene Text Recognition