Scene Text Recognition On Svt

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-H (DFN-5B)	99.1	CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model
DTrOCR 105M	98.9	DTrOCR: Decoder-only Transformer for Optical Character Recognition
CLIP4STR-B*	98.76	An Empirical Study of Scaling Law for OCR
CLIP4STR-L (DataComp-1B)	98.6	CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model
MGP-STR	98.6	Multi-Granularity Prediction for Scene Text Recognition
CLIP4STR-L	98.5	CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model
CPPD	98.5	Context Perception Parallel Decoder for Scene Text Recognition
CLIP4STR-B	98.3	CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model
PARSeq	97.9±0.2	Scene Text Recognition with Permuted Autoregressive Sequence Models
CCD-ViT-Base(ARD_2.8M)	97.8	Self-supervised Character-to-Character Distillation for Text Recognition
CCD-ViT-Small(ARD_2.8M)	96.4	Self-supervised Character-to-Character Distillation for Text Recognition
CCD-ViT-Tiny(ARD_2.8M)	96.0	Self-supervised Character-to-Character Distillation for Text Recognition
S-GTR	95.8	Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition
SIGA_T	95.1	Self-supervised Implicit Glyph Attention for Text Recognition
MATRN	95	Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features
Yet Another Text Recognizer	94.7	Why You Should Try the Real Data for the Scene Text Recognition
NRTR+TPS++	94.6	TPS++: Attention-Enhanced Thin-Plate Spline for Scene Text Recognition
DPAN	93.9	Look Back Again: Dual Parallel Attention Network for Accurate and Robust Scene Text Recognition	-
CDistNet (Ours)	93.82	CDistNet: Perceiving Multi-Domain Character Distance for Robust Text Recognition
DiffusionSTR	93.6	DiffusionSTR: Diffusion Model for Scene Text Recognition	-

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