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Models/SLRNet

SLRNet

Reported on 6 benchmarks across 2 tasks · 1 paper

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

Medical3 results

  • Semantic SegmentationonCOCO 2014 val
    mIoU· 2022-03-19
    35
    best: 56.8 (DHR (Swin-L, Mask2Former))
    Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic SegmentationarXiv:2203.10278
  • Semantic SegmentationonPASCAL VOC 2012 val
    Mean IoU· 2022-03-19
    69.3
    best: 83.4 (SemPLeS (Swin-L))
    Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic SegmentationarXiv:2203.10278
  • Semantic SegmentationonPASCAL VOC 2012 test
    Mean IoU· 2022-03-19
    69.4
    best: 82.9 (SemPLeS (Swin-L))
    Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic SegmentationarXiv:2203.10278

Audio3 results

  • 10-shot image generationonCOCO 2014 val
    mIoU· 2022-03-19
    35
    best: 56.8 (DHR (Swin-L, Mask2Former))
    Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic SegmentationarXiv:2203.10278
  • 10-shot image generationonPASCAL VOC 2012 val
    Mean IoU· 2022-03-19
    69.3
    best: 83.4 (SemPLeS (Swin-L))
    Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic SegmentationarXiv:2203.10278
  • 10-shot image generationonPASCAL VOC 2012 test
    Mean IoU· 2022-03-19
    69.4
    best: 82.9 (SemPLeS (Swin-L))
    Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic SegmentationarXiv:2203.10278