Scene Text Recognition on Scene Text Recognition Benchmark (SVT + IIIT5k + IC13 + IC15) (test)
96Word AccuracyPARSeqA
Evaluation results
| Method | Links | |
|---|---|---|
| PARSeqATrain data=R (Real datasets)2022.07 | 96 | |
| TRBATrain data=R (Real datasets)2022.07 | 95.2 | |
| ABINetTrain data=R (Real datasets)2022.07 | 95.2 | |
| PARSeqNTrain data=R (Real datasets)2022.07 | 95.2 | |
| ViTSTR-STrain data=R (Real datasets)2022.07 | 94.3 | |
| PARSeqATrain data=S2022.07 | 91.9 | |
| TextScannerTrain data=S*2022.07 | 91 | |
| Bhunia et al.Train data=S2022.07 | 90.9 | |
| PARSeqNTrain data=S2022.07 | 90.7 | |
| TRBATrain data=S2022.07 | 90.6 | |
| SRNTrain data=S2022.07 | 90.4 | |
| PlugNetTrain data=S2022.07 | 89.8 | |
| ABINetTrain data=S2022.07 | 89.8 | |
| RobustScannerTrain data=S, B2022.07 | 89.2 | |
| ViTSTR-STrain data=S2022.07 | 88.6 | |
| CRNNTrain data=R (Real datasets)2022.07 | 88.5 | |
| TRBATrain data=S (Original Published)2022.07 | 85.7 | |
| ViTSTR-BTrain data=S2 (SynthText without special characters)2022.07 | 83.8 | |
| CRNNTrain data=S2022.07 | 83.2 | |
| CRNNTrain data=S (Original Published)2022.07 | 75.8 |