Scene Text Recognition on ICDAR13 (test)
97.2AccuracyTransformer*
Evaluation results
| Method | Links | |
|---|---|---|
| Transformer*Decoding=Autoregressive2021.11 | 97.2 | |
| CDistNetTPS=false, Decoding=Autoregressive2021.11 | 97.1 | |
| CDistNetTPS=true, Decoding=Autoregressive2021.11 | 97.1 | |
| ABINetDecoding=Parallel2021.11 | 97 | |
| RobustScanner*Decoding=Autoregressive2021.11 | 96.9 | |
| SIGATType=V, Backbone=ViT-B, Structure=Transformer, Size=32×1282022.03 | 96.8 | |
| VisionLANDecoding=Parallel2021.11 | 96.3 | |
| PARSeqType=VL, Backbone=DeiT, Structure=Transformer, Size=32×1282022.03 | 96.2 | |
| SIGARType=V, Backbone=ResNet45, Structure=ResNet, Size=32×1282022.03 | 95.6 | |
| EP2022.01 | 94.4 | |
| S-GTRDecoding=Parallel2021.11 | 93.8 | |
| FAN2022.01 | 93.3 | |
| SAFL2022.01 | 92.8 | |
| Baek et al.2022.01 | 92.3 | |
| ASTER2022.01 | 91.8 | |
| ESIR2022.01 | 91.3 | |
| SAR2022.01 | 91 | |
| Jaderberg et al.2022.01 | 90.8 | |
| Char-Net2022.01 | 90.8 | |
| Lee et al.2022.01 | 90 | |
| Shi et al.2022.01 | 89.6 | |
| RARE2022.01 | 88.6 | |
| CRNN2022.01 | 86.7 | |
| Liao et al.2022.01 | 86.4 |