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الرئيسية
SOTA
التعرف على النص في المشهد
Scene Text Recognition On Svtp
Scene Text Recognition On Svtp
المقاييس
Accuracy
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
Accuracy
Paper Title
Repository
CLIP4STR-L
97.4
CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model
DPAN
89.0
Look Back Again: Dual Parallel Attention Network for Accurate and Robust Scene Text Recognition
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CLIP4STR-B
97.2
CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model
CLIP4STR-L (DataComp-1B)
98.1
CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model
SIGA_T
90.5
Self-supervised Implicit Glyph Attention for Text Recognition
MATRN
90.6
Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features
CCD-ViT-Base
96.1
Self-supervised Character-to-Character Distillation for Text Recognition
CCD-ViT-Small
92.7
Self-supervised Character-to-Character Distillation for Text Recognition
CCD-ViT-Tiny
91.6
Self-supervised Character-to-Character Distillation for Text Recognition
DTrOCR 105M
98.6
DTrOCR: Decoder-only Transformer for Optical Character Recognition
CDistNet (Ours)
89.77
CDistNet: Perceiving Multi-Domain Character Distance for Robust Text Recognition
PARSeq
95.7±0.9
Scene Text Recognition with Permuted Autoregressive Sequence Models
CPPD
96.7
Context Perception Parallel Decoder for Scene Text Recognition
DiffusionSTR
89.2
DiffusionSTR: Diffusion Model for Scene Text Recognition
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CLIP4STR-L*
98.13
An Empirical Study of Scaling Law for OCR
S-GTR
90.6
Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition
MGP-STR
98.3
Multi-Granularity Prediction for Scene Text Recognition
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