Optical Character Recognition On Benchmarking
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Accuracy (%)
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | 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 | - |
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