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Scene Text Recognition On Icdar2015

Metrics

Accuracy

Results

Performance results of various models on this benchmark

Paper Title
DTrOCR 105M93.5DTrOCR: Decoder-only Transformer for Optical Character Recognition
CLIP4STR-L*92.6An Empirical Study of Scaling Law for OCR
CPPD91.7Context Perception Parallel Decoder for Scene Text Recognition
CLIP4STR-L (DataComp-1B)91.4CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model
MGP-STR90.9Multi-Granularity Prediction for Scene Text Recognition
CLIP4STR-L90.8CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model
CLIP4STR-B90.6CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model
PARSeq89.6±0.3Scene Text Recognition with Permuted Autoregressive Sequence Models
SIGA_S87.6Self-supervised Implicit Glyph Attention for Text Recognition
S-GTR87.3Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition
MATRN86.6Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features
CDistNet (Ours)86.25CDistNet: Perceiving Multi-Domain Character Distance for Robust Text Recognition
DiffusionSTR86DiffusionSTR: Diffusion Model for Scene Text Recognition
DPAN85.5Look Back Again: Dual Parallel Attention Network for Accurate and Robust Scene Text Recognition
RCEED82.2Representation and Correlation Enhanced Encoder-Decoder Framework for Scene Text Recognition
CSTR81.6Revisiting Classification Perspective on Scene Text Recognition
Yet Another Text Recognizer80.2Why You Should Try the Real Data for the Scene Text Recognition
SEED80SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition
TextScanner79.4TextScanner: Reading Characters in Order for Robust Scene Text Recognition
SATRN79.0On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention
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Scene Text Recognition On Icdar2015 | SOTA | HyperAI