Scene Text Recognition On Icdar2013
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 |
|---|---|
| look-back-again-dual-parallel-attention | 97.7 |
| textscanner-reading-characters-in-order-for | 92.9 |
| an-end-to-end-trainable-neural-network-for | 86.7 |
| svtr-scene-text-recognition-with-a-single | 97.2 |
| show-attend-and-read-a-simple-and-strong | 91.0 |
| cdistnet-perceiving-multi-domain-character | 97.67 |
| a-glyph-driven-topology-enhancement-network | 97.8 |
| multi-modal-text-recognition-networks | 97.9 |
| scene-text-recognition-with-permuted | 98.4±0.2 |
| visual-semantics-allow-for-textual-reasoning-1 | 97.8 |
| svtr-scene-text-recognition-with-a-single | 97.1 |
| seed-semantics-enhanced-encoder-decoder | 92.8 |
| clip4str-a-simple-baseline-for-scene-text-1 | 98.5 |
| decoupled-attention-network-for-text | 93.9 |
| multi-granularity-prediction-for-scene-text | 98.5 |
| svtr-scene-text-recognition-with-a-single | 95.7 |
| an-empirical-study-of-scaling-law-for-ocr | 99.42 |
| towards-accurate-scene-text-recognition-with | 95.5 |
| star-net-a-spatial-attention-residue-network | 89.1 |
| diffusionstr-diffusion-model-for-scene-text | 97.1 |
| vision-transformer-for-fast-and-efficient | 92.4 |
| svtr-scene-text-recognition-with-a-single | 96.3 |
| what-is-wrong-with-scene-text-recognition | 92.3 |
| on-recognizing-texts-of-arbitrary-shapes-with | 94.1 |
| clip4str-a-simple-baseline-for-scene-text-1 | 98.3 |
| safl-a-self-attention-scene-text-recognizer-1 | 92.8 |
| self-supervised-character-to-character | 97.5 |
| self-supervised-character-to-character | 98.3 |
| robust-scene-text-recognition-with-automatic | 88.6 |
| synthetic-data-and-artificial-neural-networks | 79.5 |
| dtrocr-decoder-only-transformer-for-optical | 99.4 |
| self-supervised-character-to-character | 98.3 |
| clip4str-a-simple-baseline-for-scene-text-1 | 99.0 |
| why-you-should-try-the-real-data-for-the | 96.8 |
| cstr-a-classification-perspective-on-scene | 93.2 |
| aster-an-attentional-scene-text-recognizer | 91.8 |
| scene-text-recognition-from-two-dimensional | 91.5 |
| representation-and-correlation-enhanced | 94.7 |