HyperAI超神经

首页资讯论文教程数据集百科 SOTA LLM 模型天梯 GPU 天梯顶会

中文

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

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

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