Optical Character Recognition On Benchmarking
Métriques
Accuracy (%)
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy (%) | Paper Title | Repository |
|---|---|---|---|
| DTrOCR 105M | 89.6 | DTrOCR: Decoder-only Transformer for Optical Character Recognition | |
| TransOCR | 72.8 | Scene Text Telescope: Text-Focused Scene Image Super-Resolution | |
| MaskOCR-L | 82.6 | MaskOCR: Text Recognition with Masked Encoder-Decoder Pretraining | - |
| DTrOCR | 89.6 | DTrOCR: Decoder-only Transformer for Optical Character Recognition | |
| SEED | 61.2 | SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition | |
| SRN | 65.0 | Towards Accurate Scene Text Recognition with Semantic Reasoning Networks | |
| MORAN | 64.3 | A Multi-Object Rectified Attention Network for Scene Text Recognition |
0 of 7 row(s) selected.