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Models/Meta-RCNN

Meta-RCNN

Reported on 18 benchmarks across 6 tasks

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

Methodology12 results

  • 3DonArtaxor
    mAP
    14
    best: 71.2 (ETS)
  • 3DonDIOR
    mAP
    20.6
    best: 37.5 (ETS)
  • 3DonUODD
    mAP
    11.2
    best: 29.8 (ETS)
  • 2D ClassificationonArtaxor
    mAP
    14
    best: 71.2 (ETS)
  • 2D ClassificationonDIOR
    mAP
    20.6
    best: 37.5 (ETS)
  • 2D ClassificationonUODD
    mAP
    11.2
    best: 29.8 (ETS)
  • 2D Object DetectiononArtaxor
    mAP
    14
    best: 71.2 (ETS)
  • 2D Object DetectiononDIOR
    mAP
    20.6
    best: 37.5 (ETS)
  • 2D Object DetectiononUODD
    mAP
    11.2
    best: 29.8 (ETS)
  • 16konArtaxor
    mAP
    14
    best: 71.2 (ETS)
  • 16konDIOR
    mAP
    20.6
    best: 37.5 (ETS)
  • 16konUODD
    mAP
    11.2
    best: 29.8 (ETS)

Computer Vision6 results

  • Object DetectiononArtaxor
    mAP
    14
    best: 71.2 (ETS)
  • Object DetectiononDIOR
    mAP
    20.6
    best: 37.5 (ETS)
  • Object DetectiononUODD
    mAP
    11.2
    best: 29.8 (ETS)
  • Few-Shot Object DetectiononArtaxor
    mAP
    14
    best: 71.2 (ETS)
  • Few-Shot Object DetectiononDIOR
    mAP
    20.6
    best: 37.5 (ETS)
  • Few-Shot Object DetectiononUODD
    mAP
    11.2
    best: 29.8 (ETS)