Scene Text Recognition on CUTE80 (test)
0.9965AccuracyCLIP4STR-B*
Evaluation Results
| Method | Links | |
|---|---|---|
| CLIP4STR-B*Training data=REBU-Syn2023.12 | 0.9965 | |
| CLIP4STR-L*Training data=REBU-Syn2023.12 | 0.9965 | |
| CLIP4STR-BTraining data=Real2023.12 | 0.9896 | |
| CLIP4STR-LTraining data=Real2023.12 | 0.9896 | |
| MAERec-BTraining data=Union14M-L2023.12 | 0.986 | |
| PARSeqATraining data=Real, Reproduced=true2023.12 | 0.9722 | |
| ABINetTraining data=Real2023.12 | 0.972 | |
| DiG-ViT-BTraining data=Real2023.12 | 0.965 | |
| ViTSTR-STraining data=Real2023.12 | 0.962 | |
| MaskOCR(ViT-L)Training data=MJ+ST2023.12 | 0.958 | |
| TrOCRLargeTraining data=MJ+ST+B2023.12 | 0.951 | |
| MATRNTraining data=MJ+ST2023.12 | 0.935 | |
| RobustScannerLexicon-free=true, Character-level annotations=false2021.06 | 0.924 | |
| NRTR+TPS++Training Data=90K+ST, Params=35.5M, Time=218ms2023.05 | 0.924 | |
| GTRTraining Data=90K+ST, Params=42.1M, Time=18.8ms2023.05 | 0.923 | |
| PARSeqTraining Data=90K+ST, Params=23.8M, Time=11.8ms2023.05 | 0.922 | |
| PARSeqATraining data=MJ+ST2023.12 | 0.922 | |
| RCEEDLexicon-free=true, Character-level annotations=false2021.06 | 0.917 | |
| Pren2DTraining Data=90K+ST+Real, Time=67.4ms2023.05 | 0.917 | |
| TextScannerTraining data=MJ+ST2023.12 | 0.916 | |
| DiG-ViT-BTraining data=MJ+ST2023.12 | 0.913 | |
| RobustScannerTraining Data=90K+ST2023.05 | 0.903 | |
| PETRTraining data=MJ+ST2023.12 | 0.899 | |
| SARLexicon=None, Training Level=word-level2018.11 | 0.896 | |
| SARLexicon-free=true, Character-level annotations=false2021.06 | 0.896 | |
| ABINet-LV+TPS++Training Data=90K+ST, Params=37.2M, Time=41.5ms2023.05 | 0.896 | |
| ABINet + InfoBatchPruned %=26.6%2025.03 | 0.894 | |
| ABINet-LVTraining Data=90K+ST, Params=36.7M, Time=37.2ms2023.05 | 0.892 | |
| TRBATraining data=MJ+ST2023.12 | 0.892 | |
| ABINetTraining data=MJ+ST2023.12 | 0.892 | |
| MaskOCR(ViT-B)Training data=MJ+ST2023.12 | 0.892 | |
| ABINetPruned %=0%2025.03 | 0.892 | |
| ABINet + SeTaPruned %=28.1%2025.03 | 0.892 | |
| Mask TextSpotterLexicon-free=true, Character-level annotations=true2021.06 | 0.885 | |
| VisionLANTraining Data=90K+ST, Params=32.8M, Time=28.0ms2023.05 | 0.885 | |
| VisionLANTraining data=MJ+ST2023.12 | 0.885 | |
| ABINet + InfoBatchPruned %=50.3%2025.03 | 0.885 | |
| ABINet + SeTaPruned %=40.4%2025.03 | 0.885 | |
| ABINet + InfoBatchPruned %=38.1%2025.03 | 0.884 | |
| SGBANetTraining Data=90K+ST2023.05 | 0.882 | |
| SATRNFeature map=2D, Training data=MJ+ST, Dictionary matching=False2019.10 | 0.878 | |
| SRNTraining Data=90K+ST, Params=49.3M, Time=26.9ms2023.05 | 0.878 | |
| SRNTraining data=MJ+ST2023.12 | 0.878 | |
| MASTERLexicon-free=true, Character-level annotations=false2021.06 | 0.875 | |
| SAR 3 x 20Lexicon-free=true, Character-level annotations=false2021.06 | 0.875 | |
| SPINTraining Data=90K+ST2023.05 | 0.875 | |
| ABINet + SeTaPruned %=71.0%2025.03 | 0.875 | |
| Yang, L et al.Lexicon-free=true, Character-level annotations=false2021.06 | 0.854 | |
| CRNN+TPS++Training Data=90K+ST, Params=16.2M, Time=16.6ms2023.05 | 0.854 | |
| SCATTERLexicon-free=true, Character-level annotations=false2021.06 | 0.851 | |
| SE-ASTERTraining data=MJ+ST2023.12 | 0.836 | |
| ESIRFeature map=STN-1D, Training data=MJ+ST, Dictionary matching=False2019.10 | 0.833 | |
| SARFeature map=2D, Training data=MJ+ST, Dictionary matching=False2019.10 | 0.833 | |
| ESIRLexicon-free=true, Character-level annotations=false2021.06 | 0.833 | |
| SARTraining Data=90K+ST, Params=57.5M, Time=120ms2023.05 | 0.833 | |
| ESIRTraining Data=90K+ST2023.05 | 0.833 | |
| STANTraining Data=90K+ST2023.05 | 0.833 | |
| ViTSTR-BTraining data=MJ+ST2023.12 | 0.813 | |
| NRTRTraining Data=90K+ST, Params=31.7M, Time=212ms2023.05 | 0.809 | |
| CA-FCNFeature map=2D, Training data=ST+C, Dictionary matching=False2019.10 | 0.799 | |
| Shi et al. 2018Lexicon=None, Training Level=word-level2018.11 | 0.795 | |
| ASTERFeature map=STN-1D, Training data=MJ+ST, Dictionary matching=False2019.10 | 0.795 | |
| ASTERLexicon-free=true, Character-level annotations=false2021.06 | 0.795 | |
| ASTERTraining Data=90K+ST, Params=22M, Time=73.1ms2023.05 | 0.795 | |
| Liu, Chen, and Wong 2018Lexicon=None, Training Level=word-level and character-level2018.11 | 0.789 | |
| MORANLexicon-free=true, Character-level annotations=false2021.06 | 0.774 | |
| MORANTraining Data=90K+ST, Params=28.5M, Time=24.4ms2023.05 | 0.774 | |
| AON (Ours)Lexicon=None2017.11 | 0.768 | |
| Cheng et al. 2018Lexicon=None, Training Level=word-level2018.11 | 0.768 | |
| AONFeature map=2D, Training data=MJ+ST, Dictionary matching=False2019.10 | 0.768 | |
| Yang et al. 2017Lexicon=None, Training Level=word-level and character-level2018.11 | 0.758 | |
| Naive_baseLexicon=None2017.11 | 0.754 | |
| Comb.BestFeature map=STN-1D, Training data=MJ+ST, Dictionary matching=False2019.10 | 0.74 | |
| STN_baseLexicon=None2017.11 | 0.737 | |
| Yang et al.Lexicon=None2017.11 | 0.693 | |
| ATRFeature map=2D, Training data=PRI+C, Dictionary matching=False2019.10 | 0.693 | |
| Cheng et al.Lexicon=None2017.11 | 0.639 | |
| Cheng et al. 2017Lexicon=None, Training Level=word-level and character-level2018.11 | 0.639 | |
| RARELexicon=None2016.03 | 0.592 | |
| Shi et al. [32]Lexicon=None2017.11 | 0.592 | |
| Shi et al. 2016Lexicon=None, Training Level=word-level2018.11 | 0.592 | |
| RAREFeature map=1D, Training data=MJ, Dictionary matching=False2019.10 | 0.592 | |
| Shi et al.Lexicon=None2016.03 | 0.549 | |
| Shi et al. [31]Lexicon=None2017.11 | 0.549 | |
| Shi, Bai, and Yao 2017Lexicon=None, Training Level=word-level2018.11 | 0.549 | |
| Jaderberg et al.Lexicon=None2016.03 | 0.427 | |
| Jaderberg et al. 2015aLexicon=None, Training Level=word-level2018.11 | 0.427 |