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Scene Text Recognition on CUTE (test)

93.5AccuracyMATRN
49.164860.674972.18583.6951Mar 27, 2020Aug 23, 2020Jan 19, 2021Jun 17, 2021Nov 13, 2021Apr 11, 2022Sep 8, 2022

Evaluation results

MethodLinks
MATRN2021.1193.5
PREN2DYear=20212021.1191.7
MGP-STR VisionTraining Data=MJ and ST, Lexicon=None2022.0990.63
RobustScannerYear=20202021.1190.3
RobustScannerTraining Data=MJ and ST, Lexicon=None2022.0990.3
MGP-STR FuseTraining Data=MJ and ST, Lexicon=None2022.0990.28
JVSRYear=20212021.1189.7
ABINetYear=20212021.1189.2
ABINetTraining Data=MJ and ST, Lexicon=None2022.0989.2
ABINet (reproduced)Implementation=reproduced2021.1189
VisionLANYear=20212021.1188.5
VisionLANTraining Data=MJ and ST, Lexicon=None2022.0988.5
Liao et al. (SAM)Backbone=ResNet, Training Data=Synth90K+SynthText, Annotations=word-level, Lexicon=None2020.0387.8
SRNBackbone=ResNet, Training Data=Synth90K+SynthText, Annotations=word-level, Lexicon=None2020.0387.8
SATRNYear=20202021.1187.8
SRNYear=20202021.1187.8
SATRNTraining Data=MJ and ST, Lexicon=None2022.0987.8
SRNTraining Data=MJ and ST, Lexicon=None2022.0987.8
Yang et al. (SCRN)Backbone=ResNet, Training Data=Synth90K+SynthText, Annotations=word and character-level, Lexicon=None2020.0387.5
GA-SPINYear=20212021.1187.5
MASTERTraining Data=MJ and ST, Lexicon=None2022.0987.5
Lyu et al. (Parallel)Backbone=ResNet, Training Data=Synth90K+SynthText, Annotations=word-level, Lexicon=None2020.0386.8
SAFL2022.0185.4
Yang et al.Year=20202021.1185.4
SRN w/o GSRMBackbone=ResNet, Training Data=Synth90K+SynthText, Annotations=word-level, Lexicon=None2020.0384.7
DANYear=20202021.1184.4
DANTraining Data=MJ and ST, Lexicon=None2022.0984.4
STAR-NetTrain Dataset=S90k+ST+TextOCR2021.0583.62
SE-ASTERYear=20202021.1183.6
SE-ASTERTraining Data=MJ and ST, Lexicon=None2022.0983.6
Zhan et al. (ESIR)Backbone=ResNet, Training Data=Synth90K+SynthText, Annotations=word-level, Lexicon=None2020.0383.3
Li et al. (SAR)Backbone=ResNet, Training Data=Synth90K+SynthText, Annotations=word-level, Lexicon=None2020.0383.3
SAR2022.0183.3
ESIR2022.0183.3
ESIRYear=20192021.1183.3
ESIRTraining Data=MJ and ST, Lexicon=None2022.0983.3
TextScannerTraining Data=MJ and ST, Lexicon=None2022.0983.3
Xie et al. (ACE)Backbone=VGG, Training Data=Synth90K, Annotations=word-level, Lexicon=None2020.0382.6
ViTSTRTraining Data=MJ and ST, Lexicon=None2022.0981.3
Liao et al.2022.0179.9
Shi et al. (ASTER)Backbone=ResNet, Training Data=Synth90K+SynthText, Annotations=word-level, Lexicon=None2020.0379.5
ASTER2022.0179.5
TPS-ResNet-BiLSTM-AttnTrain Dataset=S90k+ST+TextOCR2021.0579.44
RosettaTrain Dataset=S90k+ST+TextOCR2021.0577.35
Cheng et al. (AON)Backbone=self-designed, Training Data=Synth90K+SynthText, Annotations=word-level, Lexicon=None2020.0376.8
AON2022.0176.8
TPS-ResNet-BiLSTM-AttnPW=true, Train Dataset=S90k+ST2021.0574.22
Baek et al.2022.0174
TBRATraining Data=MJ and ST, Lexicon=None2022.0974
CRNNTrain Dataset=S90k+ST+TextOCR2021.0573.87
STAR-NetPW=true, Train Dataset=S90k+ST2021.0572.47
CombBestYear=20192021.1171
TPS-ResNet-BiLSTM-AttnTrain Dataset=TextOCR2021.0570.38
Yang et al.Backbone=VGG, Training Data=Synth90K+self-made, Annotations=word and character-level, Lexicon=None2020.0369.3
Yang et al.2022.0169.3
RosettaPW=true, Train Dataset=S90k+ST2021.0567.6
CRNNPW=true, Train Dataset=S90k+ST2021.0562.37
RARE2022.0159.2
TPS-ResNet-BiLSTM-AttnTrain Dataset=COCOText2021.0550.87