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Models/SSTD

SSTD

Reported on 8 benchmarks across 1 task · 2 papers

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

Computer Vision8 results

  • Scene Text DetectiononICDAR 2013
    Precision· 2017-09-01
    88
    best: 97.4 (CRAFT)
    Single Shot Text Detector with Regional AttentionarXiv:1709.00138
  • Scene Text DetectiononICDAR 2013
    Recall· 2017-09-01
    86
    best: 93.1 (CRAFT)
    Single Shot Text Detector with Regional AttentionarXiv:1709.00138
  • Scene Text DetectiononCOCO-Text
    F-Measure· 2017-09-01
    37
    best: 59.1 (Corner-based Region Proposals)
    Single Shot Text Detector with Regional AttentionarXiv:1709.00138
  • Scene Text DetectiononCOCO-Text
    Precision· 2017-09-01
    46
    best: 60.87 (TextBoxes++_MS)
    Single Shot Text Detector with Regional AttentionarXiv:1709.00138
  • Scene Text DetectiononCOCO-Text
    Recall· 2017-09-01
    31
    best: 63.3 (Corner-based Region Proposals)
    Single Shot Text Detector with Regional AttentionarXiv:1709.00138
  • Scene Text DetectiononICDAR 2015
    F-Measure· 2017-08-22
    77
    best: 92.23 (TextFuseNet (ResNeXt-101))
    WordSup: Exploiting Word Annotations for Character based Text DetectionarXiv:1708.06720
  • Scene Text DetectiononICDAR 2015
    Precision· 2017-08-22
    80
    best: 93.96 (TextFuseNet (ResNeXt-101))
    WordSup: Exploiting Word Annotations for Character based Text DetectionarXiv:1708.06720
  • Scene Text DetectiononICDAR 2015
    Recall· 2017-08-22
    73
    best: 91.98 (CharNet H-88 (single-scale))
    WordSup: Exploiting Word Annotations for Character based Text DetectionarXiv:1708.06720