TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/Mask TextSpotter

Mask TextSpotter

Reported on 7 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 Vision7 results

  • Scene Text DetectiononICDAR 2013
    Precision· 2018-07-06
    95
    best: 97.4 (CRAFT)
    SOTA
    Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary ShapesarXiv:1807.02242
  • Scene Text DetectiononICDAR 2013
    Recall· 2018-07-06
    88.6
    best: 93.1 (CRAFT)
    SOTA
    Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary ShapesarXiv:1807.02242
  • Scene Text DetectiononTotal-Text
    Precision· 2018-07-06
    69
    best: 93 (MixNet)
    Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary ShapesarXiv:1807.02242
  • Scene Text DetectiononTotal-Text
    Recall· 2018-07-06
    55
    best: 88.1 (MixNet)
    Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary ShapesarXiv:1807.02242
  • Scene Text DetectiononICDAR 2015
    F-Measure· 2018-07-06
    86
    best: 92.23 (TextFuseNet (ResNeXt-101))
    Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary ShapesarXiv:1807.02242
  • Scene Text DetectiononICDAR 2015
    Precision· 2018-07-06
    91.6
    best: 93.96 (TextFuseNet (ResNeXt-101))
    Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary ShapesarXiv:1807.02242
  • Scene Text DetectiononICDAR 2015
    Recall· 2018-07-06
    81
    best: 91.98 (CharNet H-88 (single-scale))
    Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary ShapesarXiv:1807.02242