Scene Text Recognition on MPSC 15003 (test)
72.7AccuracySIGAs
Evaluation results
| Method | Links | |
|---|---|---|
| SIGAsBackbone Type=SVTR-based, Training Data=MJ and ST2022.03 | 72.7 | |
| SIGATBackbone Type=Transformer-based, Training Data=MJ and ST2022.03 | 72 | |
| SVTRVenue=IJCAI2022, Backbone Type=SVTR-based, Training Data=MJ and ST2022.03 | 71.4 | |
| SIGARBackbone Type=CNN-based, Training Data=MJ and ST2022.03 | 65.6 | |
| MGP-STRVenue=ECCV2022, Backbone Type=Transformer-based, Training Data=MJ and ST2022.03 | 65 | |
| ABINetVenue=CVPR2021, Backbone Type=Transformer-based, Training Data=MJ and ST2022.03 | 64.4 | |
| PIMNetVenue=ACM MM2021, Backbone Type=CNN-based, Training Data=MJ and ST2022.03 | 60.8 | |
| SARVenue=AAAI2019, Backbone Type=CNN-based, Training Data=MJ and ST2022.03 | 59.7 | |
| DANVenue=AAAI2020, Backbone Type=CNN-based, Training Data=MJ and ST2022.03 | 57.7 | |
| GA-SPINVenue=AAAI2021, Backbone Type=CNN-based, Training Data=MJ and ST2022.03 | 51.7 |