Scene Text Recognition On Icdar2013

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
CLIP4STR-L*	99.42	An Empirical Study of Scaling Law for OCR
DTrOCR 105M	99.4	DTrOCR: Decoder-only Transformer for Optical Character Recognition
CLIP4STR-L (DataComp-1B)	99.0	CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model
CLIP4STR-L	98.5	CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model
MGP-STR	98.5	Multi-Granularity Prediction for Scene Text Recognition
PARSeq	98.4±0.2	Scene Text Recognition with Permuted Autoregressive Sequence Models
CLIP4STR-B	98.3	CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model
CCD-ViT-Base(ARD_2.8M)	98.3	Self-supervised Character-to-Character Distillation for Text Recognition
CCD-ViT-Small(ARD_2.8M)	98.3	Self-supervised Character-to-Character Distillation for Text Recognition
MATRN	97.9	Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features
SIGA_T	97.8	Self-supervised Implicit Glyph Attention for Text Recognition
S-GTR	97.8	Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition
DPAN	97.7	Look Back Again: Dual Parallel Attention Network for Accurate and Robust Scene Text Recognition	-
CDistNet (Ours)	97.67	CDistNet: Perceiving Multi-Domain Character Distance for Robust Text Recognition
CCD-ViT-Tiny(ARD_2.8M)	97.5	Self-supervised Character-to-Character Distillation for Text Recognition
SVTR-L (Large)	97.2	SVTR: Scene Text Recognition with a Single Visual Model
SVTR-B (Base)	97.1	SVTR: Scene Text Recognition with a Single Visual Model
DiffusionSTR	97.1	DiffusionSTR: Diffusion Model for Scene Text Recognition	-
Yet Another Text Recognizer	96.8	Why You Should Try the Real Data for the Scene Text Recognition
SVTR-T (Tiny)	96.3	SVTR: Scene Text Recognition with a Single Visual Model

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