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Models/SegFormer (MiT-B2)

SegFormer (MiT-B2)

Reported on 10 benchmarks across 2 tasks · 2 papers

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

Medical5 results

  • Semantic SegmentationonLaRS
    F1· 2023-08-18
    70
    best: 80.2 (TransMari (Mask2Former))
    LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and BenchmarkarXiv:2308.09618
  • Semantic SegmentationonLaRS
    Q· 2023-08-18
    67.8
    best: 78.1 (SWIM^2 (Mask2Former))
    LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and BenchmarkarXiv:2308.09618
  • Semantic SegmentationonLaRS
    mIoU· 2023-08-18
    96.8
    best: 97.8 (SWIM^2 (Mask2Former))
    LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and BenchmarkarXiv:2308.09618
  • Semantic SegmentationonLaRS
    μ· 2023-08-18
    78.6
    best: 79.7 (SWIM^2 (Mask2Former))
    LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and BenchmarkarXiv:2308.09618
  • Semantic SegmentationonDADA-seg
    mIoU· 2021-05-31
    21.2
    best: 46.97 (MMUDA)
    SegFormer: Simple and Efficient Design for Semantic Segmentation with TransformersarXiv:2105.15203

Audio5 results

  • 10-shot image generationonLaRS
    F1· 2023-08-18
    70
    best: 80.2 (TransMari (Mask2Former))
    LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and BenchmarkarXiv:2308.09618
  • 10-shot image generationonLaRS
    Q· 2023-08-18
    67.8
    best: 78.1 (SWIM^2 (Mask2Former))
    LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and BenchmarkarXiv:2308.09618
  • 10-shot image generationonLaRS
    mIoU· 2023-08-18
    96.8
    best: 97.8 (SWIM^2 (Mask2Former))
    LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and BenchmarkarXiv:2308.09618
  • 10-shot image generationonLaRS
    μ· 2023-08-18
    78.6
    best: 79.7 (SWIM^2 (Mask2Former))
    LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and BenchmarkarXiv:2308.09618
  • 10-shot image generationonDADA-seg
    mIoU· 2021-05-31
    21.2
    best: 46.97 (MMUDA)
    SegFormer: Simple and Efficient Design for Semantic Segmentation with TransformersarXiv:2105.15203