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Models/ALFNet

ALFNet

Reported on 18 benchmarks across 2 tasks

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

Robots9 results

  • Autonomous VehiclesonCaltech
    Reasonable Miss Rate
    6.1
    best: 24.8 (LDCF)
  • Autonomous VehiclesonCityPersons
    Bare MR^-2
    8.4
    best: 10 (TLL)
  • Autonomous VehiclesonCityPersons
    Heavy MR^-2
    51.9
    best: 56.9 (RepLoss)
  • Autonomous VehiclesonCityPersons
    Large MR^-2
    6.6
    best: 8 (FRCNN+Seg)
  • Autonomous VehiclesonCityPersons
    Medium MR^-2
    5.7
    best: 7.2 (FRCNN)
  • Autonomous VehiclesonCityPersons
    Partial MR^-2
    11.4
    best: 17.2 (TLL)
  • Autonomous VehiclesonCityPersons
    Reasonable MR^-2
    12
    best: 15.5 (TLL)
  • Autonomous VehiclesonCityPersons
    Small MR^-2
    19
    best: 25.6 (FRCNN)
  • Autonomous VehiclesonCityPersons
    Test Time
    0.27

Computer Vision9 results

  • Pedestrian DetectiononCaltech
    Reasonable Miss Rate
    6.1
    best: 24.8 (LDCF)
  • Pedestrian DetectiononCityPersons
    Bare MR^-2
    8.4
    best: 10 (TLL)
  • Pedestrian DetectiononCityPersons
    Heavy MR^-2
    51.9
    best: 56.9 (RepLoss)
  • Pedestrian DetectiononCityPersons
    Large MR^-2
    6.6
    best: 8 (FRCNN+Seg)
  • Pedestrian DetectiononCityPersons
    Medium MR^-2
    5.7
    best: 7.2 (FRCNN)
  • Pedestrian DetectiononCityPersons
    Partial MR^-2
    11.4
    best: 17.2 (TLL)
  • Pedestrian DetectiononCityPersons
    Reasonable MR^-2
    12
    best: 15.5 (TLL)
  • Pedestrian DetectiononCityPersons
    Small MR^-2
    19
    best: 25.6 (FRCNN)
  • Pedestrian DetectiononCityPersons
    Test Time
    0.27