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Models/Corner-based Region Proposals

Corner-based Region Proposals

Reported on 8 benchmarks across 1 task · 1 paper · 2 SOTA

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

Computer Vision8 results

  • Scene Text DetectiononCOCO-Text
    F-Measure· 2018-04-08
    59.1
    SOTA
    Detecting Multi-Oriented Text with Corner-based Region ProposalsarXiv:1804.02690
  • Scene Text DetectiononCOCO-Text
    Recall· 2018-04-08
    63.3
    SOTA
    Detecting Multi-Oriented Text with Corner-based Region ProposalsarXiv:1804.02690
  • Scene Text DetectiononICDAR 2013
    Precision· 2018-04-08
    91.9
    best: 97.4 (CRAFT)
    Detecting Multi-Oriented Text with Corner-based Region ProposalsarXiv:1804.02690
  • Scene Text DetectiononICDAR 2013
    Recall· 2018-04-08
    83.9
    best: 93.1 (CRAFT)
    Detecting Multi-Oriented Text with Corner-based Region ProposalsarXiv:1804.02690
  • Scene Text DetectiononICDAR 2015
    F-Measure· 2018-04-08
    84.5
    best: 92.23 (TextFuseNet (ResNeXt-101))
    Detecting Multi-Oriented Text with Corner-based Region ProposalsarXiv:1804.02690
  • Scene Text DetectiononICDAR 2015
    Precision· 2018-04-08
    88.7
    best: 93.96 (TextFuseNet (ResNeXt-101))
    Detecting Multi-Oriented Text with Corner-based Region ProposalsarXiv:1804.02690
  • Scene Text DetectiononICDAR 2015
    Recall· 2018-04-08
    80.7
    best: 91.98 (CharNet H-88 (single-scale))
    Detecting Multi-Oriented Text with Corner-based Region ProposalsarXiv:1804.02690
  • Scene Text DetectiononCOCO-Text
    Precision· 2018-04-08
    55.5
    best: 60.87 (TextBoxes++_MS)
    Detecting Multi-Oriented Text with Corner-based Region ProposalsarXiv:1804.02690