| DTrOCR 105M |
- Accuracy
- 93.5
|
DTrOCR: Decoder-only Transformer for Optical Character Recognition 2023-08-30 |
코드 1 |
| CLIP4STR-L* |
- Accuracy
- 92.6
|
An Empirical Study of Scaling Law for OCR 2023-12-29 |
코드 1 |
| CPPD |
- Accuracy
- 91.7
|
Context Perception Parallel Decoder for Scene Text Recognition 2023-07-23 |
코드 1 · 코드 2 |
| CLIP4STR-L (DataComp-1B) |
- Accuracy
- 91.4
|
CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model 2023-05-23 |
코드 1 |
| MGP-STR |
- Accuracy
- 90.9
|
Multi-Granularity Prediction for Scene Text Recognition 2022-09-08 |
코드 1 · 코드 2 · 코드 3 |
| CLIP4STR-L |
- Accuracy
- 90.8
|
CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model 2023-05-23 |
코드 1 |
| CLIP4STR-B |
- Accuracy
- 90.6
|
CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model 2023-05-23 |
코드 1 |
| PARSeq |
- Accuracy
- 89.6±0.3
|
Scene Text Recognition with Permuted Autoregressive Sequence Models 2022-07-14 |
코드 1 · 코드 2 |
| SIGA_S |
- Accuracy
- 87.6
|
Self-supervised Implicit Glyph Attention for Text Recognition 2022-03-07 |
코드 1 |
| S-GTR |
- Accuracy
- 87.3
|
Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition 2021-12-24 |
코드 1 |
| MATRN |
- Accuracy
- 86.6
|
Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features 2021-11-30 |
코드 1 · 코드 2 · 코드 3 |
| CDistNet (Ours) |
- Accuracy
- 86.25
|
CDistNet: Perceiving Multi-Domain Character Distance for Robust Text Recognition 2021-11-22 |
코드 1 · 코드 2 · 코드 3 |
| DiffusionSTR |
- Accuracy
- 86
|
DiffusionSTR: Diffusion Model for Scene Text Recognition 2023-06-29 |
연결 없음 |
| DPAN |
- Accuracy
- 85.5
|
Look Back Again: Dual Parallel Attention Network for Accurate and Robust Scene Text Recognition 2021-08-01 |
코드 1 · 코드 2 |
| RCEED |
- Accuracy
- 82.2
|
Representation and Correlation Enhanced Encoder-Decoder Framework for Scene Text Recognition 2021-06-13 |
코드 1 |
| CSTR |
- Accuracy
- 81.6
|
Revisiting Classification Perspective on Scene Text Recognition 2021-02-22 |
코드 1 |
| Yet Another Text Recognizer |
- Accuracy
- 80.2
|
Why You Should Try the Real Data for the Scene Text Recognition 2021-07-29 |
코드 1 |
| SEED |
- Accuracy
- 80
|
SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition 2020-05-22 |
코드 1 · 코드 2 · 코드 3 |
| TextScanner |
- Accuracy
- 79.4
|
TextScanner: Reading Characters in Order for Robust Scene Text Recognition 2019-12-28 |
연결 없음 |
| SATRN |
- Accuracy
- 79.0
|
On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention 2019-10-10 |
코드 1 · 코드 2 |
| SAFL |
- Accuracy
- 77.5
|
SAFL: A Self-Attention Scene Text Recognizer with Focal Loss 2022-01-01 |
코드 1 |
| ASTER |
- Accuracy
- 76.1
|
ASTER: An Attentional Scene Text Recognizer with Flexible Rectification 2018-06-25 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| DAN |
- Accuracy
- 74.5
|
Decoupled Attention Network for Text Recognition 2019-12-21 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |
| AON |
- Accuracy
- 73.0
|
AON: Towards Arbitrarily-Oriented Text Recognition 2017-11-12 |
코드 1 |
| ViTSTR |
- Accuracy
- 72.6
|
Vision Transformer for Fast and Efficient Scene Text Recognition 2021-05-18 |
코드 1 · 코드 2 · 코드 3 |
| Baek et al. |
- Accuracy
- 71.8
|
What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis 2019-04-03 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10 · 코드 11 · 코드 12 · 코드 13 |
| SAR |
- Accuracy
- 69.2
|
Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition 2018-11-02 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 |