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Models/BIOT

BIOT

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

  • 3DonMS-COCO (30-shot)
    AP
    33.8
    best: 36.8 (Training-free)
  • 3DonMS-COCO (10-shot)
    AP
    26.3
    best: 36.6 (Training-free)
  • 3DonDIOR
    mAP
    31.1
    best: 37.5 (ETS)
  • 2D ClassificationonMS-COCO (30-shot)
    AP
    33.8
    best: 36.8 (Training-free)
  • 2D ClassificationonMS-COCO (10-shot)
    AP
    26.3
    best: 36.6 (Training-free)
  • 2D ClassificationonDIOR
    mAP
    31.1
    best: 37.5 (ETS)
  • 2D Object DetectiononMS-COCO (30-shot)
    AP
    33.8
    best: 36.8 (Training-free)
  • 2D Object DetectiononMS-COCO (10-shot)
    AP
    26.3
    best: 36.6 (Training-free)
  • 2D Object DetectiononDIOR
    mAP
    31.1
    best: 37.5 (ETS)
  • 16konMS-COCO (30-shot)
    AP
    33.8
    best: 36.8 (Training-free)
  • 16konMS-COCO (10-shot)
    AP
    26.3
    best: 36.6 (Training-free)
  • 16konDIOR
    mAP
    31.1
    best: 37.5 (ETS)

Computer Vision6 results

  • Object DetectiononMS-COCO (30-shot)
    AP
    33.8
    best: 36.8 (Training-free)
  • Object DetectiononMS-COCO (10-shot)
    AP
    26.3
    best: 36.6 (Training-free)
  • Object DetectiononDIOR
    mAP
    31.1
    best: 37.5 (ETS)
  • Few-Shot Object DetectiononMS-COCO (30-shot)
    AP
    33.8
    best: 36.8 (Training-free)
  • Few-Shot Object DetectiononMS-COCO (10-shot)
    AP
    26.3
    best: 36.6 (Training-free)
  • Few-Shot Object DetectiononDIOR
    mAP
    31.1
    best: 37.5 (ETS)