| CLIP4STR-L* |
- Accuracy
- 99.42
|
An Empirical Study of Scaling Law for OCR 2023-12-29 |
코드 1 |
| DTrOCR 105M |
- Accuracy
- 99.4
|
DTrOCR: Decoder-only Transformer for Optical Character Recognition 2023-08-30 |
코드 1 |
| CLIP4STR-L (DataComp-1B) |
- Accuracy
- 99.0
|
CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model 2023-05-23 |
코드 1 |
| MGP-STR |
- Accuracy
- 98.5
|
Multi-Granularity Prediction for Scene Text Recognition 2022-09-08 |
코드 1 · 코드 2 · 코드 3 |
| CLIP4STR-L |
- Accuracy
- 98.5
|
CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model 2023-05-23 |
코드 1 |
| PARSeq |
- Accuracy
- 98.4±0.2
|
Scene Text Recognition with Permuted Autoregressive Sequence Models 2022-07-14 |
코드 1 · 코드 2 |
| CCD-ViT-Base(ARD_2.8M) |
- Accuracy
- 98.3
|
Self-supervised Character-to-Character Distillation for Text Recognition 2022-11-01 |
코드 1 |
| CCD-ViT-Small(ARD_2.8M) |
- Accuracy
- 98.3
|
Self-supervised Character-to-Character Distillation for Text Recognition 2022-11-01 |
코드 1 |
| CLIP4STR-B |
- Accuracy
- 98.3
|
CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model 2023-05-23 |
코드 1 |
| MATRN |
- Accuracy
- 97.9
|
Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features 2021-11-30 |
코드 1 · 코드 2 · 코드 3 |
| S-GTR |
- Accuracy
- 97.8
|
Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition 2021-12-24 |
코드 1 |
| SIGA_T |
- Accuracy
- 97.8
|
Self-supervised Implicit Glyph Attention for Text Recognition 2022-03-07 |
코드 1 |
| DPAN |
- Accuracy
- 97.7
|
Look Back Again: Dual Parallel Attention Network for Accurate and Robust Scene Text Recognition 2021-08-01 |
코드 1 · 코드 2 |
| CDistNet (Ours) |
- Accuracy
- 97.67
|
CDistNet: Perceiving Multi-Domain Character Distance for Robust Text Recognition 2021-11-22 |
코드 1 · 코드 2 · 코드 3 |
| CCD-ViT-Tiny(ARD_2.8M) |
- Accuracy
- 97.5
|
Self-supervised Character-to-Character Distillation for Text Recognition 2022-11-01 |
코드 1 |
| SVTR-L (Large) |
- Accuracy
- 97.2
|
SVTR: Scene Text Recognition with a Single Visual Model 2022-04-30 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| SVTR-B (Base) |
- Accuracy
- 97.1
|
SVTR: Scene Text Recognition with a Single Visual Model 2022-04-30 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| DiffusionSTR |
- Accuracy
- 97.1
|
DiffusionSTR: Diffusion Model for Scene Text Recognition 2023-06-29 |
연결 없음 |
| Yet Another Text Recognizer |
- Accuracy
- 96.8
|
Why You Should Try the Real Data for the Scene Text Recognition 2021-07-29 |
코드 1 |
| SVTR-T (Tiny) |
- Accuracy
- 96.3
|
SVTR: Scene Text Recognition with a Single Visual Model 2022-04-30 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| SVTR-S (Small) |
- Accuracy
- 95.7
|
SVTR: Scene Text Recognition with a Single Visual Model 2022-04-30 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| SRN |
- Accuracy
- 95.5
|
Towards Accurate Scene Text Recognition with Semantic Reasoning Networks 2020-03-27 |
코드 1 · 코드 2 · 코드 3 |
| RCEED |
- Accuracy
- 94.7
|
Representation and Correlation Enhanced Encoder-Decoder Framework for Scene Text Recognition 2021-06-13 |
코드 1 |
| SATRN |
- Accuracy
- 94.1
|
On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention 2019-10-10 |
코드 1 · 코드 2 |
| DAN |
- Accuracy
- 93.9
|
Decoupled Attention Network for Text Recognition 2019-12-21 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |
| CSTR |
- Accuracy
- 93.2
|
Revisiting Classification Perspective on Scene Text Recognition 2021-02-22 |
코드 1 |
| TextScanner |
- Accuracy
- 92.9
|
TextScanner: Reading Characters in Order for Robust Scene Text Recognition 2019-12-28 |
연결 없음 |
| SEED |
- Accuracy
- 92.8
|
SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition 2020-05-22 |
코드 1 · 코드 2 · 코드 3 |
| SAFL |
- Accuracy
- 92.8
|
SAFL: A Self-Attention Scene Text Recognizer with Focal Loss 2022-01-01 |
코드 1 |
| ViTSTR |
- Accuracy
- 92.4
|
Vision Transformer for Fast and Efficient Scene Text Recognition 2021-05-18 |
코드 1 · 코드 2 · 코드 3 |