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Models/FTSN + MNMS

FTSN + MNMS

Reported on 6 benchmarks across 1 task · 1 paper · 5 SOTA

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

Computer Vision6 results

  • Scene Text DetectiononICDAR 2015
    F-Measure· 2017-09-11
    84.1
    best: 92.23 (TextFuseNet (ResNeXt-101))
    SOTA
    Fused Text Segmentation Networks for Multi-oriented Scene Text DetectionarXiv:1709.03272
  • Scene Text DetectiononICDAR 2015
    Precision· 2017-09-11
    88.6
    best: 93.96 (TextFuseNet (ResNeXt-101))
    SOTA
    Fused Text Segmentation Networks for Multi-oriented Scene Text DetectionarXiv:1709.03272
  • Scene Text DetectiononMSRA-TD500
    F-Measure· 2017-09-11
    82
    best: 89.4 (MixNet)
    SOTA
    Fused Text Segmentation Networks for Multi-oriented Scene Text DetectionarXiv:1709.03272
  • Scene Text DetectiononMSRA-TD500
    Precision· 2017-09-11
    87.6
    best: 92.1 (FAST-B-736)
    SOTA
    Fused Text Segmentation Networks for Multi-oriented Scene Text DetectionarXiv:1709.03272
  • Scene Text DetectiononMSRA-TD500
    Recall· 2017-09-11
    77.1
    best: 88.1 (MixNet)
    SOTA
    Fused Text Segmentation Networks for Multi-oriented Scene Text DetectionarXiv:1709.03272
  • Scene Text DetectiononICDAR 2015
    Recall· 2017-09-11
    80
    best: 91.98 (CharNet H-88 (single-scale))
    Fused Text Segmentation Networks for Multi-oriented Scene Text DetectionarXiv:1709.03272