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Models/SAM

SAM

Reported on 7 benchmarks across 3 tasks · 2 papers · 1 SOTA

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

Computer Vision5 results

  • SegmentationonSA-1B
    AR-large· 2024-06-28
    82.8
    SOTA
    Segment Anything without SupervisionarXiv:2406.20081
  • SegmentationonSA-1B
    AR-medium· 2024-06-28
    59.9
    best: 65.9 (unSAM+ (Semi-supervised))
    Segment Anything without SupervisionarXiv:2406.20081
  • SegmentationonSA-1B
    AR-small· 2024-06-28
    20
    best: 36.2 (unSAM+ (Semi-supervised))
    Segment Anything without SupervisionarXiv:2406.20081
  • SegmentationonSA-1B
    Average Precision· 2024-06-28
    38.9
    best: 42.8 (unSAM+ (Semi-supervised))
    Segment Anything without SupervisionarXiv:2406.20081
  • Image Classificationoncifar10
    Accuracy
    0.9672

Other2 results

  • Event-based Object SegmentationonMVSEC-SEG
    mIoU· 2023-04-05
    0.26
    best: 0.4 (EventSAM)
    Segment AnythingarXiv:2304.02643
  • Event-based Object SegmentationonRGBE-SEG
    mIoU· 2023-04-05
    0.26
    best: 0.41 (EventSAM)
    Segment AnythingarXiv:2304.02643