Correlation-guided decoding strategy for low-resource Uyghur scene text recognition
Abstract Currently, most state-of-the-art scene text recognition methods are based on the Transformer architecture and rely on pre-trained large language models. However, these pre-trained models are primarily designed for resource-rich languages and exhibit limitations when applied to low-resource...
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| Principais autores: | , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Springer
2024-11-01
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| Serier: | Complex & Intelligent Systems |
| Fag: | |
| Online adgang: | https://doi.org/10.1007/s40747-024-01689-5 |
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