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Models/FRCNN

FRCNN

Reported on 8 benchmarks across 2 tasks · 1 paper · 6 SOTA

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

Robots4 results

  • Autonomous VehiclesonCityPersons
    Medium MR^-2· 2017-02-19
    7.2
    SOTA
    CityPersons: A Diverse Dataset for Pedestrian DetectionarXiv:1702.05693
  • Autonomous VehiclesonCityPersons
    Reasonable MR^-2· 2017-02-19
    15.4
    best: 15.5 (TLL)
    SOTA
    CityPersons: A Diverse Dataset for Pedestrian DetectionarXiv:1702.05693
  • Autonomous VehiclesonCityPersons
    Small MR^-2· 2017-02-19
    25.6
    SOTA
    CityPersons: A Diverse Dataset for Pedestrian DetectionarXiv:1702.05693
  • Autonomous VehiclesonCityPersons
    Large MR^-2· 2017-02-19
    7.9
    best: 8 (FRCNN+Seg)
    CityPersons: A Diverse Dataset for Pedestrian DetectionarXiv:1702.05693

Computer Vision4 results

  • Pedestrian DetectiononCityPersons
    Medium MR^-2· 2017-02-19
    7.2
    SOTA
    CityPersons: A Diverse Dataset for Pedestrian DetectionarXiv:1702.05693
  • Pedestrian DetectiononCityPersons
    Reasonable MR^-2· 2017-02-19
    15.4
    best: 15.5 (TLL)
    SOTA
    CityPersons: A Diverse Dataset for Pedestrian DetectionarXiv:1702.05693
  • Pedestrian DetectiononCityPersons
    Small MR^-2· 2017-02-19
    25.6
    SOTA
    CityPersons: A Diverse Dataset for Pedestrian DetectionarXiv:1702.05693
  • Pedestrian DetectiononCityPersons
    Large MR^-2· 2017-02-19
    7.9
    best: 8 (FRCNN+Seg)
    CityPersons: A Diverse Dataset for Pedestrian DetectionarXiv:1702.05693