Scene Text Recognition on IC15 2077 (test)
86AccuracyABINet++ (LV)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ABINet++ (LV)Labeled Datasets=MJ+ST+Real, Vision Model Scale=LV2022.11 | 86 | — | |
| PIMNet Qiao et al.Year=2021, Labeled Datasets=MJ+ST+Real2022.11 | 85.9 | — | |
| ABINet++ (LV)Labeled Datasets=MJ+ST, Vision Model Scale=LV2022.11 | 85.1 | 33.9 | |
| Bhunia et al.Year=2021, Labeled Datasets=MJ+ST2022.11 | 84 | — | |
| STN-CSTRTraining Data=MJ+ST, Annotations=word, STN=true2021.02 | 82 | — | |
| CSTRTraining Data=MJ+ST, Annotations=word, STN=false2021.02 | 81.6 | — | |
| PIMNet Qiao et al.Year=2021, Labeled Datasets=MJ+ST2022.11 | 81 | 19.1 | |
| SEEDTraining Data=MJ+ST, Annotations=word, Beam search=true, Unclear Measured Dataset=true2021.02 | 80 | — | |
| TextScannerTraining Data=MJ+ST, Annotations=word,char2021.02 | 79.4 | — | |
| SATRNTraining Data=MJ+ST, Annotations=word2021.02 | 79 | — | |
| ABINet++‡ (LV)Labeled Datasets=MJ+ST, Unlabeled Datasets=Uber-Text, Vision Model Scale=LV, Training Strategy=ensemble self-training2022.11 | 78.9 | — | |
| RobustScanner Yue et al.Year=2020, Labeled Datasets=MJ+ST2022.11 | 77.1 | 36 | |
| ASTERTraining Data=MJ+ST, Annotations=word, Beam search=true, Unclear Measured Dataset=true2021.02 | 76.1 | — | |
| DAN Wang et al.Year=2020, Labeled Datasets=MJ+ST2022.11 | 74.5 | — | |
| Our best modelSetting=Our experiment, Train data=MJ+ST2019.04 | 71.8 | — | |
| Baek et al.Training Data=MJ+ST, Annotations=word2021.02 | 71.8 | — | |
| STAR-NetSetting=Our experiment, Year=2016, Train data=MJ+ST2019.04 | 70.3 | — | |
| SARTraining Data=MJ+ST, Annotations=word, Test-Time Augmentation (TTA)=true2021.02 | 69.2 | — | |
| RARESetting=Our experiment, Year=2016, Train data=MJ+ST2019.04 | 68.9 | — | |
| AONSetting=Reported results, Year=2018, Train data=MJ+ST2019.04 | 68.2 | — | |
| AONTraining Data=MJ+ST, Annotations=word2021.02 | 68.2 | — | |
| RosettaSetting=Our experiment, Year=2018, Train data=MJ+ST2019.04 | 66 | — | |
| GRCNNSetting=Our experiment, Year=2017, Train data=MJ+ST2019.04 | 65.8 | — | |
| CRNNSetting=Our experiment, Year=2015, Train data=MJ+ST2019.04 | 64.2 | — | |
| R2AMSetting=Our experiment, Year=2016, Train data=MJ+ST2019.04 | 63.6 | — | |
| Char-NetSetting=Reported results, Year=2018, Train data=MJ2019.04 | 60 | — |