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Models/Lin2021

Lin2021

Reported on 24 benchmarks across 6 tasks

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

Methodology16 results

  • 3DonGoogle Objectron
    AP at 10' Elevation error
    0.856
    best: 0.6658 (MobilePose)
  • 3DonGoogle Objectron
    AP at 15' Azimuth error
    0.8398
    best: 0.5088 (MobilePose)
  • 3DonGoogle Objectron
    Average Precision at 0.5 3D IoU
    0.7218
  • 3DonGoogle Objectron
    MPE
    0.052
    best: 0.1001 (MobilePose)
  • 2D ClassificationonGoogle Objectron
    AP at 10' Elevation error
    0.856
    best: 0.6658 (MobilePose)
  • 2D ClassificationonGoogle Objectron
    AP at 15' Azimuth error
    0.8398
    best: 0.5088 (MobilePose)
  • 2D ClassificationonGoogle Objectron
    Average Precision at 0.5 3D IoU
    0.7218
  • 2D ClassificationonGoogle Objectron
    MPE
    0.052
    best: 0.1001 (MobilePose)
  • 2D Object DetectiononGoogle Objectron
    AP at 10' Elevation error
    0.856
    best: 0.6658 (MobilePose)
  • 2D Object DetectiononGoogle Objectron
    AP at 15' Azimuth error
    0.8398
    best: 0.5088 (MobilePose)
  • 2D Object DetectiononGoogle Objectron
    Average Precision at 0.5 3D IoU
    0.7218
  • 2D Object DetectiononGoogle Objectron
    MPE
    0.052
    best: 0.1001 (MobilePose)
  • 16konGoogle Objectron
    AP at 10' Elevation error
    0.856
    best: 0.6658 (MobilePose)
  • 16konGoogle Objectron
    AP at 15' Azimuth error
    0.8398
    best: 0.5088 (MobilePose)
  • 16konGoogle Objectron
    Average Precision at 0.5 3D IoU
    0.7218
  • 16konGoogle Objectron
    MPE
    0.052
    best: 0.1001 (MobilePose)

Computer Vision8 results

  • Object DetectiononGoogle Objectron
    AP at 10' Elevation error
    0.856
    best: 0.6658 (MobilePose)
  • Object DetectiononGoogle Objectron
    AP at 15' Azimuth error
    0.8398
    best: 0.5088 (MobilePose)
  • Object DetectiononGoogle Objectron
    Average Precision at 0.5 3D IoU
    0.7218
  • Object DetectiononGoogle Objectron
    MPE
    0.052
    best: 0.1001 (MobilePose)
  • 3D Object DetectiononGoogle Objectron
    AP at 10' Elevation error
    0.856
    best: 0.6658 (MobilePose)
  • 3D Object DetectiononGoogle Objectron
    AP at 15' Azimuth error
    0.8398
    best: 0.5088 (MobilePose)
  • 3D Object DetectiononGoogle Objectron
    Average Precision at 0.5 3D IoU
    0.7218
  • 3D Object DetectiononGoogle Objectron
    MPE
    0.052
    best: 0.1001 (MobilePose)