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Models/TextFuseNet (ResNeXt-101)

TextFuseNet (ResNeXt-101)

Reported on 11 benchmarks across 1 task

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

Computer Vision11 results

  • Scene Text DetectiononTotal-Text
    Precision
    89.2
    best: 93 (MixNet)
  • Scene Text DetectiononTotal-Text
    Recall
    85.8
    best: 88.1 (MixNet)
  • Scene Text DetectiononSCUT-CTW1500
    F-Measure
    87.4
    best: 89.8 (MixNet)
  • Scene Text DetectiononSCUT-CTW1500
    Precision
    89.7
    best: 91.7 (DPText-DETR (ResNet50))
  • Scene Text DetectiononSCUT-CTW1500
    Recall
    85.1
    best: 88.3 (MixNet)
  • Scene Text DetectiononICDAR 2013
    Precision
    97.27
    best: 97.4 (CRAFT)
  • Scene Text DetectiononICDAR 2013
    Recall
    92.09
    best: 93.1 (CRAFT)
  • Scene Text DetectiononIC19-Art
    H-Mean
    78.6
    best: 79.7 (MixNet)
  • Scene Text DetectiononICDAR 2015
    F-Measure
    92.23
  • Scene Text DetectiononICDAR 2015
    Precision
    93.96
  • Scene Text DetectiononICDAR 2015
    Recall
    90.56
    best: 91.98 (CharNet H-88 (single-scale))