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Models/LSFM

LSFM

Reported on 20 benchmarks across 2 tasks

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

Robots10 results

  • Autonomous VehiclesonCaltech Pedestrian Dataset
    MR· uses extra data
    0.87
  • Autonomous VehiclesonTJU-Ped-traffic
    HO (miss rate)
    56.2
    best: 63.73 (FCOS)
  • Autonomous VehiclesonTJU-Ped-traffic
    R (miss rate)
    18.7
    best: 24.35 (FCOS)
  • Autonomous VehiclesonTJU-Ped-traffic
    RS (miss rate)
    24.9
    best: 37.92 (RetinaNet)
  • Autonomous VehiclesonCaltech
    Heavy MR^-2· uses extra data
    19.5
    best: 38.7 (F2DNet)
  • Autonomous VehiclesonCaltech
    Reasonable Miss Rate· uses extra data
    0.87
    best: 24.8 (LDCF)
  • Autonomous VehiclesonCityPersons
    Heavy MR^-2
    31.9
    best: 56.9 (RepLoss)
  • Autonomous VehiclesonCityPersons
    Reasonable MR^-2
    8.5
    best: 15.5 (TLL)
  • Autonomous VehiclesonCityPersons
    Small MR^-2
    8.8
    best: 25.6 (FRCNN)
  • Autonomous VehiclesonCityPersons
    Test Time
    0.18
    best: 0.27 (ALFNet)

Computer Vision10 results

  • Pedestrian DetectiononCaltech Pedestrian Dataset
    MR· uses extra data
    0.87
  • Pedestrian DetectiononTJU-Ped-traffic
    HO (miss rate)
    56.2
    best: 63.73 (FCOS)
  • Pedestrian DetectiononTJU-Ped-traffic
    R (miss rate)
    18.7
    best: 24.35 (FCOS)
  • Pedestrian DetectiononTJU-Ped-traffic
    RS (miss rate)
    24.9
    best: 37.92 (RetinaNet)
  • Pedestrian DetectiononCaltech
    Heavy MR^-2· uses extra data
    19.5
    best: 38.7 (F2DNet)
  • Pedestrian DetectiononCaltech
    Reasonable Miss Rate· uses extra data
    0.87
    best: 24.8 (LDCF)
  • Pedestrian DetectiononCityPersons
    Heavy MR^-2
    31.9
    best: 56.9 (RepLoss)
  • Pedestrian DetectiononCityPersons
    Reasonable MR^-2
    8.5
    best: 15.5 (TLL)
  • Pedestrian DetectiononCityPersons
    Small MR^-2
    8.8
    best: 25.6 (FRCNN)
  • Pedestrian DetectiononCityPersons
    Test Time
    0.18
    best: 0.27 (ALFNet)