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Models/KNet (Swin-T)

KNet (Swin-T)

Reported on 8 benchmarks across 2 tasks · 1 paper · 8 SOTA

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

Medical4 results

  • Semantic SegmentationonLaRS
    F1· 2023-08-18
    73.4
    best: 80.2 (TransMari (Mask2Former))
    SOTA
    LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and BenchmarkarXiv:2308.09618
  • Semantic SegmentationonLaRS
    Q· 2023-08-18
    71.3
    best: 78.1 (SWIM^2 (Mask2Former))
    SOTA
    LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and BenchmarkarXiv:2308.09618
  • Semantic SegmentationonLaRS
    mIoU· 2023-08-18
    97.2
    best: 97.8 (SWIM^2 (Mask2Former))
    SOTA
    LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and BenchmarkarXiv:2308.09618
  • Semantic SegmentationonLaRS
    μ· 2023-08-18
    78.8
    best: 79.7 (SWIM^2 (Mask2Former))
    SOTA
    LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and BenchmarkarXiv:2308.09618

Audio4 results

  • 10-shot image generationonLaRS
    F1· 2023-08-18
    73.4
    best: 80.2 (TransMari (Mask2Former))
    SOTA
    LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and BenchmarkarXiv:2308.09618
  • 10-shot image generationonLaRS
    Q· 2023-08-18
    71.3
    best: 78.1 (SWIM^2 (Mask2Former))
    SOTA
    LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and BenchmarkarXiv:2308.09618
  • 10-shot image generationonLaRS
    mIoU· 2023-08-18
    97.2
    best: 97.8 (SWIM^2 (Mask2Former))
    SOTA
    LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and BenchmarkarXiv:2308.09618
  • 10-shot image generationonLaRS
    μ· 2023-08-18
    78.8
    best: 79.7 (SWIM^2 (Mask2Former))
    SOTA
    LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and BenchmarkarXiv:2308.09618