Irregular Text Recognition
5 papers with code • 0 benchmarks • 2 datasets
To read a text from an image might be difficult due to the improper angle of the text inside the image or due to surprising font. Hence, to recognize the text data from the image, Irregular Text Recognition is used.
Benchmarks
These leaderboards are used to track progress in Irregular Text Recognition
Libraries
Use these libraries to find Irregular Text Recognition models and implementations
UTRSet-Real
UTRSet-Synth
Most implemented papers
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.
RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition
open-mmlab/mmocr
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ECCV 2020
Theoretically, our proposed method, dubbed \emph{RobustScanner}, decodes individual characters with dynamic ratio between context and positional clues, and utilizes more positional ones when the decoding sequences with scarce context, and thus is robust and practical.
A Hybrid Deep Learning Model for Arabic Text Recognition
This paper presents a model that can recognize Arabic text that was printed using multiple font types including fonts that mimic Arabic handwritten scripts.
SCATTER: Selective Context Attentional Scene Text Recognizer
phantrdat/cvpr20-scatter-text-recognizer
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CVPR 2020
The first attention step re-weights visual features from a CNN backbone together with contextual features computed by a BiLSTM layer.
A Holistic Representation Guided Attention Network for Scene Text Recognition
lynx97/convolutional-attention-network-for-scene-text-recognition
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In this work, we propose a simple yet strong approach for scene text recognition.
