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Models/Baek et al.

Baek et al.

Reported on 12 benchmarks across 3 tasks · 1 paper · 9 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision8 results

  • Scene ParsingonSVT
    Accuracy· 2019-04-03
    87.5
    best: 99.1 (CLIP4STR-H (DFN-5B))
    SOTA
    What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model AnalysisarXiv:1904.01906
  • Scene ParsingonICDAR 2003
    Accuracy· 2019-04-03
    94.4
    best: 97.1 (Yet Another Text Recognizer)
    SOTA
    What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model AnalysisarXiv:1904.01906
  • Scene ParsingonICDAR2013
    Accuracy· 2019-04-03
    92.3
    best: 99.42 (CLIP4STR-L*)
    SOTA
    What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model AnalysisarXiv:1904.01906
  • Scene Text RecognitiononSVT
    Accuracy· 2019-04-03
    87.5
    best: 99.1 (CLIP4STR-H (DFN-5B))
    SOTA
    What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model AnalysisarXiv:1904.01906
  • Scene Text RecognitiononICDAR 2003
    Accuracy· 2019-04-03
    94.4
    best: 97.1 (Yet Another Text Recognizer)
    SOTA
    What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model AnalysisarXiv:1904.01906
  • Scene Text RecognitiononICDAR2013
    Accuracy· 2019-04-03
    92.3
    best: 99.42 (CLIP4STR-L*)
    SOTA
    What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model AnalysisarXiv:1904.01906
  • Scene ParsingonICDAR2015
    Accuracy· 2019-04-03
    71.8
    best: 93.5 (DTrOCR 105M)
    What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model AnalysisarXiv:1904.01906
  • Scene Text RecognitiononICDAR2015
    Accuracy· 2019-04-03
    71.8
    best: 93.5 (DTrOCR 105M)
    What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model AnalysisarXiv:1904.01906

Audio4 results

  • 2D Semantic SegmentationonSVT
    Accuracy· 2019-04-03
    87.5
    best: 99.1 (CLIP4STR-H (DFN-5B))
    SOTA
    What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model AnalysisarXiv:1904.01906
  • 2D Semantic SegmentationonICDAR 2003
    Accuracy· 2019-04-03
    94.4
    best: 97.1 (Yet Another Text Recognizer)
    SOTA
    What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model AnalysisarXiv:1904.01906
  • 2D Semantic SegmentationonICDAR2013
    Accuracy· 2019-04-03
    92.3
    best: 99.42 (CLIP4STR-L*)
    SOTA
    What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model AnalysisarXiv:1904.01906
  • 2D Semantic SegmentationonICDAR2015
    Accuracy· 2019-04-03
    71.8
    best: 93.5 (DTrOCR 105M)
    What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model AnalysisarXiv:1904.01906