HyperAI超神経
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HyperAI超神経

Scene Text Recognition On Icdar2013

評価指標

Accuracy

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名
Accuracy
Paper TitleRepository
DPAN97.7Look Back Again: Dual Parallel Attention Network for Accurate and Robust Scene Text Recognition
TextScanner92.9TextScanner: Reading Characters in Order for Robust Scene Text Recognition-
CRNN86.7An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition
SVTR-L (Large)97.2SVTR: Scene Text Recognition with a Single Visual Model
SAR91.0Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition
CDistNet (Ours)97.67CDistNet: Perceiving Multi-Domain Character Distance for Robust Text Recognition
SIGA_T97.8Self-supervised Implicit Glyph Attention for Text Recognition
MATRN97.9Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features
PARSeq98.4±0.2Scene Text Recognition with Permuted Autoregressive Sequence Models
S-GTR97.8Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition
SVTR-B (Base)97.1SVTR: Scene Text Recognition with a Single Visual Model
SEED92.8SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition
CLIP4STR-L98.5CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model-
DAN93.9Decoupled Attention Network for Text Recognition
MGP-STR98.5Multi-Granularity Prediction for Scene Text Recognition
SVTR-S (Small)95.7SVTR: Scene Text Recognition with a Single Visual Model
CLIP4STR-L*99.42An Empirical Study of Scaling Law for OCR
SRN95.5Towards Accurate Scene Text Recognition with Semantic Reasoning Networks
STAR-Net89.1Star-net: A spatial attention residue network for scene text recognition.
DiffusionSTR97.1DiffusionSTR: Diffusion Model for Scene Text Recognition-
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