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Models/MASNet

MASNet

Reported on 16 benchmarks across 2 tasks

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

Audio8 results

  • 2D Semantic SegmentationonMAS3K
    E-measure
    0.906
    best: 0.943 (SAM2-UNet)
  • 2D Semantic SegmentationonMAS3K
    MAE
    0.032
    best: 0.021 (SAM2-UNet)
  • 2D Semantic SegmentationonMAS3K
    S-measure
    0.864
    best: 0.903 (SAM2-UNet)
  • 2D Semantic SegmentationonMAS3K
    mIoU
    0.742
    best: 0.799 (SAM2-UNet)
  • 2D Semantic SegmentationonRMAS
    E-measure
    0.92
    best: 0.948 (MAS-SAM)
  • 2D Semantic SegmentationonRMAS
    MAE
    0.024
    best: 0.021 (MAS-SAM)
  • 2D Semantic SegmentationonRMAS
    S-measure
    0.862
    best: 0.874 (SAM2-UNet)
  • 2D Semantic SegmentationonRMAS
    mIoU
    0.731
    best: 0.742 (MAS-SAM)

Computer Vision8 results

  • Image SegmentationonMAS3K
    E-measure
    0.906
    best: 0.943 (SAM2-UNet)
  • Image SegmentationonMAS3K
    MAE
    0.032
    best: 0.021 (SAM2-UNet)
  • Image SegmentationonMAS3K
    S-measure
    0.864
    best: 0.903 (SAM2-UNet)
  • Image SegmentationonMAS3K
    mIoU
    0.742
    best: 0.799 (SAM2-UNet)
  • Image SegmentationonRMAS
    E-measure
    0.92
    best: 0.948 (MAS-SAM)
  • Image SegmentationonRMAS
    MAE
    0.024
    best: 0.021 (MAS-SAM)
  • Image SegmentationonRMAS
    S-measure
    0.862
    best: 0.874 (SAM2-UNet)
  • Image SegmentationonRMAS
    mIoU
    0.731
    best: 0.742 (MAS-SAM)