| 01 | CLIP4STR-H (DFN-5B) From paper: CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model | verified | 99.1 | 2023 | Paper ↗Code ↗ | Looks wrong? |
| 02 | DTrOCR 105M From paper: DTrOCR: Decoder-only Transformer for Optical Character Recognition | verified | 98.9 | 2023 | Paper ↗Code ↗ | Looks wrong? |
| 03 | MGP-STR From paper: Multi-Granularity Prediction for Scene Text Recognition | verified | 98.6 | 2022 | Paper ↗Code ↗ | Looks wrong? |
| 04 | CLIP4STR-L (DataComp-1B) From paper: CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model | verified | 98.6 | 2023 | Paper ↗Code ↗ | Looks wrong? |
| 05 | CPPD From paper: Context Perception Parallel Decoder for Scene Text Recognition | verified | 98.5 | 2023 | Paper ↗Code ↗ | Looks wrong? |
| 06 | CLIP4STR-L From paper: CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model | verified | 98.5 | 2023 | Paper ↗Code ↗ | Looks wrong? |
| 07 | CLIP4STR-B From paper: An Empirical Study of Scaling Law for OCR | verified | 98.3 | 2023 | Paper ↗Code ↗Source ↗ | Looks wrong? |
| 08 | PARSeq Lowercase alphanum eval. ECCV 2022. | verified | 97.84 | 2022 | Paper ↗ | Looks wrong? |
| 09 | CCD-ViT-Base(ARD_2.8M) From paper: Self-supervised Character-to-Character Distillation for Text Recognition | verified | 97.8 | 2022 | Paper ↗Code ↗ | Looks wrong? |
| 10 | CCD-ViT-Small(ARD_2.8M) From paper: Self-supervised Character-to-Character Distillation for Text Recognition | verified | 96.4 | 2022 | Paper ↗Code ↗ | Looks wrong? |
| 11 | TrOCR-large 558M TrOCR-large, Syn+Benchmark training. Table 6. AAAI 2023. | verified | 96.1 | 2021 | Paper ↗ | Looks wrong? |
| 12 | CCD-ViT-Tiny(ARD_2.8M) From paper: Self-supervised Character-to-Character Distillation for Text Recognition | verified | 96 | 2022 | Paper ↗Code ↗ | Looks wrong? |
| 13 | S-GTR From paper: Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition | verified | 95.8 | 2021 | Paper ↗Code ↗ | Looks wrong? |
| 14 | TrOCR-base 334M TrOCR-base, Syn+Benchmark training. Table 6. AAAI 2023. | verified | 95.2 | 2021 | Paper ↗ | Looks wrong? |
| 15 | SIGA_T From paper: Self-supervised Implicit Glyph Attention for Text Recognition | verified | 95.1 | 2022 | Paper ↗Code ↗ | Looks wrong? |
| 16 | MATRN From paper: Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features | verified | 95 | 2021 | Paper ↗Code ↗ | Looks wrong? |
| 17 | Yet Another Text Recognizer From paper: Why You Should Try the Real Data for the Scene Text Recognition | verified | 94.7 | 2021 | Paper ↗Code ↗ | Looks wrong? |
| 18 | NRTR+TPS++ From paper: TPS++: Attention-Enhanced Thin-Plate Spline for Scene Text Recognition | verified | 94.6 | 2023 | Paper ↗Code ↗ | Looks wrong? |
| 19 | DPAN From paper: Look Back Again: Dual Parallel Attention Network for Accurate and Robust Scene Text Recognition | verified | 93.9 | 2021 | Paper ↗Code ↗ | Looks wrong? |
| 20 | CDistNet (Ours) From paper: CDistNet: Perceiving Multi-Domain Character Distance for Robust Text Recognition | verified | 93.82 | 2021 | Paper ↗Code ↗ | Looks wrong? |
| 21 | DiffusionSTR From paper: DiffusionSTR: Diffusion Model for Scene Text Recognition | verified | 93.6 | 2023 | Paper ↗ | Looks wrong? |
| 22 | ABINet-LV ABINet Language-Vision variant. CVPR 2021. | verified | 93.4 | 2021 | Paper ↗ | Looks wrong? |
| 23 | RCEED From paper: Representation and Correlation Enhanced Encoder-Decoder Framework for Scene Text Recognition | verified | 91.8 | 2021 | Paper ↗Code ↗ | Looks wrong? |
| 24 | SRN From paper: Towards Accurate Scene Text Recognition with Semantic Reasoning Networks | verified | 91.5 | 2020 | Paper ↗Code ↗ | Looks wrong? |
| 25 | SATRN From paper: On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention | verified | 91.3 | 2019 | Paper ↗Code ↗ | Looks wrong? |
| 26 | CSTR From paper: Revisiting Classification Perspective on Scene Text Recognition | verified | 90.6 | 2021 | Paper ↗Code ↗ | Looks wrong? |
| 27 | TextScanner From paper: TextScanner: Reading Characters in Order for Robust Scene Text Recognition | verified | 90.1 | 2019 | Paper ↗ | Looks wrong? |
| 28 | SEED From paper: SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition | verified | 89.6 | 2020 | Paper ↗Code ↗ | Looks wrong? |
| 29 | ASTER From paper: ASTER: An Attentional Scene Text Recognizer with Flexible Rectification | verified | 89.5 | 2018 | Paper ↗Code ↗ | Looks wrong? |
| 30 | DAN From paper: Decoupled Attention Network for Text Recognition | verified | 89.2 | 2019 | Paper ↗Code ↗ | Looks wrong? |
| 31 | SAFL From paper: SAFL: A Self-Attention Scene Text Recognizer with Focal Loss | verified | 88.6 | 2022 | Paper ↗Code ↗ | Looks wrong? |
| 32 | ViTSTR From paper: Vision Transformer for Fast and Efficient Scene Text Recognition | verified | 87.7 | 2021 | Paper ↗Code ↗ | Looks wrong? |
| 33 | Baek et al. From paper: What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis | verified | 87.5 | 2019 | Paper ↗Code ↗ | Looks wrong? |
| 34 | CA-FCN From paper: Scene Text Recognition from Two-Dimensional Perspective | verified | 86.4 | 2018 | Paper ↗ | Looks wrong? |
| 35 | SAR From paper: Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition | verified | 84.5 | 2018 | Paper ↗Code ↗ | Looks wrong? |
| 36 | STAR-Net From paper: Star-net: A spatial attention residue network for scene text recognition. | verified | 83.6 | 2016 | Paper ↗Code ↗ | Looks wrong? |
| 37 | RARE From paper: Robust Scene Text Recognition with Automatic Rectification | verified | 81.9 | 2016 | Paper ↗Code ↗ | Looks wrong? |
| 38 | CRNN From paper: An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition | verified | 80.8 | 2015 | Paper ↗Code ↗ | Looks wrong? |
| 39 | CHAR From paper: Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition | verified | 68 | 2014 | Paper ↗Code ↗ | Looks wrong? |