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Models/CSTR

CSTR

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

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

Computer Vision8 results

  • Scene ParsingonICDAR2015
    Accuracy· 2021-02-22
    81.6
    best: 93.5 (DTrOCR 105M)
    SOTA
    Revisiting Classification Perspective on Scene Text RecognitionarXiv:2102.10884
  • Scene Text RecognitiononICDAR2015
    Accuracy· 2021-02-22
    81.6
    best: 93.5 (DTrOCR 105M)
    SOTA
    Revisiting Classification Perspective on Scene Text RecognitionarXiv:2102.10884
  • Scene ParsingonSVT
    Accuracy· 2021-02-22
    90.6
    best: 99.1 (CLIP4STR-H (DFN-5B))
    Revisiting Classification Perspective on Scene Text RecognitionarXiv:2102.10884
  • Scene ParsingonICDAR 2003
    Accuracy· 2021-02-22
    94.8
    best: 97.1 (Yet Another Text Recognizer)
    Revisiting Classification Perspective on Scene Text RecognitionarXiv:2102.10884
  • Scene ParsingonICDAR2013
    Accuracy· 2021-02-22
    93.2
    best: 99.42 (CLIP4STR-L*)
    Revisiting Classification Perspective on Scene Text RecognitionarXiv:2102.10884
  • Scene Text RecognitiononSVT
    Accuracy· 2021-02-22
    90.6
    best: 99.1 (CLIP4STR-H (DFN-5B))
    Revisiting Classification Perspective on Scene Text RecognitionarXiv:2102.10884
  • Scene Text RecognitiononICDAR 2003
    Accuracy· 2021-02-22
    94.8
    best: 97.1 (Yet Another Text Recognizer)
    Revisiting Classification Perspective on Scene Text RecognitionarXiv:2102.10884
  • Scene Text RecognitiononICDAR2013
    Accuracy· 2021-02-22
    93.2
    best: 99.42 (CLIP4STR-L*)
    Revisiting Classification Perspective on Scene Text RecognitionarXiv:2102.10884

Audio4 results

  • 2D Semantic SegmentationonICDAR2015
    Accuracy· 2021-02-22
    81.6
    best: 93.5 (DTrOCR 105M)
    SOTA
    Revisiting Classification Perspective on Scene Text RecognitionarXiv:2102.10884
  • 2D Semantic SegmentationonSVT
    Accuracy· 2021-02-22
    90.6
    best: 99.1 (CLIP4STR-H (DFN-5B))
    Revisiting Classification Perspective on Scene Text RecognitionarXiv:2102.10884
  • 2D Semantic SegmentationonICDAR 2003
    Accuracy· 2021-02-22
    94.8
    best: 97.1 (Yet Another Text Recognizer)
    Revisiting Classification Perspective on Scene Text RecognitionarXiv:2102.10884
  • 2D Semantic SegmentationonICDAR2013
    Accuracy· 2021-02-22
    93.2
    best: 99.42 (CLIP4STR-L*)
    Revisiting Classification Perspective on Scene Text RecognitionarXiv:2102.10884