Scene Text Recognition On Icdar 2003
评估指标
Accuracy
评测结果
各个模型在此基准测试上的表现结果
比较表格
| 模型名称 | Accuracy |
|---|---|
| an-end-to-end-trainable-neural-network-for | 89.4 |
| vision-transformer-for-fast-and-efficient | 94.3 |
| a-glyph-driven-topology-enhancement-network | 97.0 |
| safl-a-self-attention-scene-text-recognizer-1 | 95.0 |
| decoupled-attention-network-for-text | 95.0 |
| aon-towards-arbitrarily-oriented-text | 91.5 |
| cstr-a-classification-perspective-on-scene | 94.8 |
| on-recognizing-texts-of-arbitrary-shapes-with | 96.7 |
| star-net-a-spatial-attention-residue-network | 89.9 |
| robust-scene-text-recognition-with-automatic | 90.1 |
| what-is-wrong-with-scene-text-recognition | 94.4 |
| why-you-should-try-the-real-data-for-the | 97.1 |