Scene Text Recognition on Standard STR Benchmark Suite Average (test)
93.35Average AccuracyMGP-STR Fuse
Evaluation Results
| Method | Links | |
|---|---|---|
| MGP-STR FuseTraining Data=MJ and ST, Lexicon=None2022.09 | 93.35 | |
| MGP-STR VisionTraining Data=MJ and ST, Lexicon=None2022.09 | 92.73 | |
| ABINetTraining Data=MJ and ST, Lexicon=None2022.09 | 92.6 | |
| VisionLANTraining Data=MJ and ST, Lexicon=None2022.09 | 91.2 | |
| SRNTraining Data=MJ and ST, Lexicon=None2022.09 | 90.4 | |
| MASTERTraining Data=MJ and ST, Lexicon=None2022.09 | 89.5 | |
| SATRNTraining Data=MJ and ST, Lexicon=None2022.09 | 88.6 | |
| TextScannerTraining Data=MJ and ST, Lexicon=None2022.09 | 88.5 | |
| RobustScannerTraining Data=MJ and ST, Lexicon=None2022.09 | 88.4 | |
| SE-ASTERTraining Data=MJ and ST, Lexicon=None2022.09 | 88.3 | |
| DANTraining Data=MJ and ST, Lexicon=None2022.09 | 87.2 | |
| ESIRTraining Data=MJ and ST, Lexicon=None2022.09 | 87.1 | |
| ViTSTRTraining Data=MJ and ST, Lexicon=None2022.09 | 85.6 | |
| TBRATraining Data=MJ and ST, Lexicon=None2022.09 | 84.6 |