HyperAI超神经

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HyperAI超神经

Scene Text Recognition On Icdar 2003

评估指标

Accuracy

评测结果

各个模型在此基准测试上的表现结果

		Paper Title	Repository
Yet Another Text Recognizer	97.1	Why You Should Try the Real Data for the Scene Text Recognition
SIGA_T	97.0	Self-supervised Implicit Glyph Attention for Text Recognition
SATRN	96.7	On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention
SAFL	95.0	SAFL: A Self-Attention Scene Text Recognizer with Focal Loss
DAN	95.0	Decoupled Attention Network for Text Recognition
CSTR	94.8	Revisiting Classification Perspective on Scene Text Recognition
Baek et al.	94.4	What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis
ViTSTR	94.3	Vision Transformer for Fast and Efficient Scene Text Recognition
AON	91.5	AON: Towards Arbitrarily-Oriented Text Recognition
RARE	90.1	Robust Scene Text Recognition with Automatic Rectification
STAR-Net	89.9	Star-net: A spatial attention residue network for scene text recognition.	-
CRNN	89.4	An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition

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Scene Text Recognition On Icdar 2003 | SOTA | HyperAI超神经