Codesota · Benchmark · icdar-2003Home/Leaderboards/Vision & Documents/Scene Text Recognition/icdar-2003
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icdar-2003.

icdar-2003 is a state-of-the-art machine learning benchmark indexed on Codesota. This page tracks published model results, top scores per metric, and the SOTA timeline for icdar-2003.

Paper ↗Leaderboard ↓
§ 01 · SOTA history

Year over year.

§ 02 · Leaderboard

Results by metric.

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Accuracy

Accuracy is the reported evaluation metric for icdar-2003. Codesota tracks published model scores on this metric so readers can compare state-of-the-art results across sources and model families.

Higher is better

Trust tiers for Accuracyverifiedpapervendorcommunityunverified
RankModelTrustScoreYearLinksFix
01Yet Another Text Recognizer
From paper: Why You Should Try the Real Data for the Scene Text Recognition
verified97.12021Paper ↗Code ↗Looks wrong?
02SIGA_T
From paper: Self-supervised Implicit Glyph Attention for Text Recognition
verified972022Paper ↗Code ↗Looks wrong?
03SATRN
From paper: On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention
verified96.72019Paper ↗Code ↗Looks wrong?
04SAFL
From paper: SAFL: A Self-Attention Scene Text Recognizer with Focal Loss
verified952022Paper ↗Code ↗Looks wrong?
05DAN
From paper: Decoupled Attention Network for Text Recognition
verified952019Paper ↗Code ↗Looks wrong?
06CSTR
From paper: Revisiting Classification Perspective on Scene Text Recognition
verified94.82021Paper ↗Code ↗Looks wrong?
07Baek et al.
From paper: What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis
verified94.42019Paper ↗Code ↗Looks wrong?
08ViTSTR
From paper: Vision Transformer for Fast and Efficient Scene Text Recognition
verified94.32021Paper ↗Code ↗Looks wrong?
09AON
From paper: AON: Towards Arbitrarily-Oriented Text Recognition
verified91.52017Paper ↗Code ↗Looks wrong?
10RARE
From paper: Robust Scene Text Recognition with Automatic Rectification
verified90.12016Paper ↗Code ↗Looks wrong?
11STAR-Net
From paper: Star-net: A spatial attention residue network for scene text recognition.
verified89.92016Paper ↗Code ↗Looks wrong?
12CRNN
From paper: An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition
verified89.42015Paper ↗Code ↗Looks wrong?
§ 04 · Submit a result

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