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Scene Text Recognition on IC03 (test)

98.7AccuracyJaderberg et al.
79.56484.53289.594.468Jan 10, 2019Jul 10, 2019Jan 7, 2020Jul 6, 2020Jan 3, 2021Jul 3, 2021Jan 1, 2022

Evaluation results

MethodLinks
Jaderberg et al.Lexicon Size=50, Citation ID=[22]2019.0198.7
Shi, Bai, and YaoLexicon Size=502019.0198.7
MORANLexicon Size=502019.0198.7
Jaderberg et al.Lexicon Size=Full, Citation ID=[22]2019.0198.6
Cheng et al.Lexicon Size=50, Citation ID=[5]2019.0198.5
Cheng et al.Lexicon Size=50, Citation ID=[6]2019.0198.5
Shi et al.Lexicon Size=50, Citation ID=[42]2019.0198.3
Shi, Bai, and YaoLexicon Size=Full2019.0198
Lee and OsinderoLexicon Size=502019.0197.9
Jaderberg et al.Lexicon Size=50, Citation ID=[21]2019.0197.8
MORANLexicon Size=Full2019.0197.8
Yang et al.Lexicon Size=502019.0197.7
Yin et al.Lexicon Size=502019.0197.6
Cheng et al.Lexicon Size=Full, Citation ID=[6]2019.0197.1
Jaderberg et al.Lexicon Size=Full, Citation ID=[21]2019.0197
Lee and OsinderoLexicon Size=Full2019.0197
Liu et al.Lexicon Size=502019.0196.9
Cheng et al.Lexicon Size=Full, Citation ID=[5]2019.0196.7
SATRNFeature map=2D, Training data=MJ+ST, Dictionary matching=False2019.1096.7
Yin et al.Lexicon Size=Full2019.0196.5
Jaderberg et al.Lexicon Size=50, Citation ID=[23]2019.0196.2
Shi et al.Lexicon Size=Full, Citation ID=[42]2019.0196.2
Liu et al.Lexicon Size=Full2019.0195.3
TPS-ResNet-BiLSTM-AttnPW=true, Train Dataset=S90k+ST2021.0595.12
MORANLexicon Size=None2019.0195
SAFL2022.0195
Baek et al.2022.0194.9
STAR-NetTrain Dataset=S90k+ST+TextOCR2021.0594.69
EP2022.0194.6
ASTER2022.0194.5
Comb.BestFeature map=STN-1D, Training data=MJ+ST, Dictionary matching=False2019.1094.4
STAR-NetPW=true, Train Dataset=S90k+ST2021.0594.39
TPS-ResNet-BiLSTM-AttnTrain Dataset=S90k+ST+TextOCR2021.0594.23
FANFeature map=1D, Training data=MJ+ST+C, Dictionary matching=False2019.1094.2
FAN2022.0194.2
RosettaTrain Dataset=S90k+ST+TextOCR2021.0593.77
Jaderberg et al.Lexicon Size=None, Citation ID=[22]2019.0193.1
Jaderberg et al.2022.0193.1
CRNNPW=true, Train Dataset=S90k+ST2021.0592.96
CRNNTrain Dataset=S90k+ST+TextOCR2021.0592.96
RosettaPW=true, Train Dataset=S90k+ST2021.0592.39
TPS-ResNet-BiLSTM-AttnTrain Dataset=TextOCR2021.0592.16
Su and LuLexicon Size=502019.0192
Shi, Bai, and YaoLexicon Size=None2019.0191.9
Shi et al.2022.0191.9
Jaderberg et al.Lexicon Size=Full, Citation ID=[23]2019.0191.5
Cheng et al.Lexicon Size=None, Citation ID=[5]2019.0191.5
Cheng et al.Lexicon Size=None, Citation ID=[6]2019.0191.5
AONFeature map=2D, Training data=MJ+ST, Dictionary matching=False2019.1091.5
Char-Net2022.0191.5
AON2022.0191.5
Shi et al.Lexicon Size=None, Citation ID=[42]2019.0190.1
RARE2022.0190.1
Liu et al.Lexicon Size=None2019.0189.9
Jaderberg et al.Lexicon Size=None, Citation ID=[21]2019.0189.6
CRNN2022.0189.4
Lee and OsinderoLexicon Size=None2019.0188.7
Lee et al.2022.0188.7
Yao et al.Lexicon Size=502019.0188.5
TPS-ResNet-BiLSTM-AttnTrain Dataset=COCOText2021.0585.58
Su and LuLexicon Size=Full2019.0182
Yin et al.Lexicon Size=None2019.0181.1
Yao et al.Lexicon Size=Full2019.0180.3