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Models/FPN-Fusion

FPN-Fusion

Reported on 25 benchmarks across 5 tasks

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

Methodology20 results

  • 3DonDSEC
    mAP
    24.4
    best: 38 (CAFR)
  • 3DonInOutDoor
    AP
    60.1
    best: 65.7 (MMPedestron)
  • 3DonEventPed
    AP
    61.1
    best: 79 (MMPedestron)
  • 3DonPKU-DDD17-Car
    mAP50
    81.9
    best: 86.7 (CAFR)
  • 3DonSTCrowd
    AP
    61.5
    best: 74.9 (MMPedestron)
  • 2D ClassificationonDSEC
    mAP
    24.4
    best: 38 (CAFR)
  • 2D ClassificationonInOutDoor
    AP
    60.1
    best: 65.7 (MMPedestron)
  • 2D ClassificationonEventPed
    AP
    61.1
    best: 79 (MMPedestron)
  • 2D ClassificationonPKU-DDD17-Car
    mAP50
    81.9
    best: 86.7 (CAFR)
  • 2D ClassificationonSTCrowd
    AP
    61.5
    best: 74.9 (MMPedestron)
  • 2D Object DetectiononDSEC
    mAP
    24.4
    best: 38 (CAFR)
  • 2D Object DetectiononInOutDoor
    AP
    60.1
    best: 65.7 (MMPedestron)
  • 2D Object DetectiononEventPed
    AP
    61.1
    best: 79 (MMPedestron)
  • 2D Object DetectiononPKU-DDD17-Car
    mAP50
    81.9
    best: 86.7 (CAFR)
  • 2D Object DetectiononSTCrowd
    AP
    61.5
    best: 74.9 (MMPedestron)
  • 16konDSEC
    mAP
    24.4
    best: 38 (CAFR)
  • 16konInOutDoor
    AP
    60.1
    best: 65.7 (MMPedestron)
  • 16konEventPed
    AP
    61.1
    best: 79 (MMPedestron)
  • 16konPKU-DDD17-Car
    mAP50
    81.9
    best: 86.7 (CAFR)
  • 16konSTCrowd
    AP
    61.5
    best: 74.9 (MMPedestron)

Computer Vision5 results

  • Object DetectiononDSEC
    mAP
    24.4
    best: 38 (CAFR)
  • Object DetectiononInOutDoor
    AP
    60.1
    best: 65.7 (MMPedestron)
  • Object DetectiononEventPed
    AP
    61.1
    best: 79 (MMPedestron)
  • Object DetectiononPKU-DDD17-Car
    mAP50
    81.9
    best: 86.7 (CAFR)
  • Object DetectiononSTCrowd
    AP
    61.5
    best: 74.9 (MMPedestron)