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Models/CSN

CSN

Reported on 19 benchmarks across 7 tasks · 2 papers · 19 SOTA

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

Computer Vision9 results

  • 3D Semantic SegmentationonPartNet
    mIOU· 2020-03-20
    62.1
    SOTA
    Cross-Shape Attention for Part Segmentation of 3D Point CloudsarXiv:2003.09053
  • Image Super-ResolutiononIXI
    PSNR 2x T2w· 2018-10-15
    39.71
    best: 40.43 (EDSR+MMHCA)
    SOTA
    Channel Splitting Network for Single MR Image Super-ResolutionarXiv:1810.06453
  • Image Super-ResolutiononIXI
    PSNR 4x T2w· 2018-10-15
    32.05
    best: 32.7 (EDSR+MMHCA)
    SOTA
    Channel Splitting Network for Single MR Image Super-ResolutionarXiv:1810.06453
  • Image Super-ResolutiononIXI
    SSIM 4x T2w· 2018-10-15
    0.9413
    best: 0.9472 (SERAN)
    SOTA
    Channel Splitting Network for Single MR Image Super-ResolutionarXiv:1810.06453
  • Image Super-ResolutiononIXI
    SSIM for 2x T2w· 2018-10-15
    0.9863
    best: 0.9877 (EDSR+MMHCA)
    SOTA
    Channel Splitting Network for Single MR Image Super-ResolutionarXiv:1810.06453
  • 3D Object Super-ResolutiononIXI
    PSNR 2x T2w· 2018-10-15
    39.71
    best: 40.43 (EDSR+MMHCA)
    SOTA
    Channel Splitting Network for Single MR Image Super-ResolutionarXiv:1810.06453
  • 3D Object Super-ResolutiononIXI
    PSNR 4x T2w· 2018-10-15
    32.05
    best: 32.7 (EDSR+MMHCA)
    SOTA
    Channel Splitting Network for Single MR Image Super-ResolutionarXiv:1810.06453
  • 3D Object Super-ResolutiononIXI
    SSIM 4x T2w· 2018-10-15
    0.9413
    best: 0.9472 (SERAN)
    SOTA
    Channel Splitting Network for Single MR Image Super-ResolutionarXiv:1810.06453
  • 3D Object Super-ResolutiononIXI
    SSIM for 2x T2w· 2018-10-15
    0.9863
    best: 0.9877 (EDSR+MMHCA)
    SOTA
    Channel Splitting Network for Single MR Image Super-ResolutionarXiv:1810.06453

Graphs4 results

  • Super-ResolutiononIXI
    PSNR 2x T2w· 2018-10-15
    39.71
    best: 40.43 (EDSR+MMHCA)
    SOTA
    Channel Splitting Network for Single MR Image Super-ResolutionarXiv:1810.06453
  • Super-ResolutiononIXI
    PSNR 4x T2w· 2018-10-15
    32.05
    best: 32.7 (EDSR+MMHCA)
    SOTA
    Channel Splitting Network for Single MR Image Super-ResolutionarXiv:1810.06453
  • Super-ResolutiononIXI
    SSIM 4x T2w· 2018-10-15
    0.9413
    best: 0.9472 (SERAN)
    SOTA
    Channel Splitting Network for Single MR Image Super-ResolutionarXiv:1810.06453
  • Super-ResolutiononIXI
    SSIM for 2x T2w· 2018-10-15
    0.9863
    best: 0.9877 (EDSR+MMHCA)
    SOTA
    Channel Splitting Network for Single MR Image Super-ResolutionarXiv:1810.06453

Methodology4 results

  • 16konIXI
    PSNR 2x T2w· 2018-10-15
    39.71
    best: 40.43 (EDSR+MMHCA)
    SOTA
    Channel Splitting Network for Single MR Image Super-ResolutionarXiv:1810.06453
  • 16konIXI
    PSNR 4x T2w· 2018-10-15
    32.05
    best: 32.7 (EDSR+MMHCA)
    SOTA
    Channel Splitting Network for Single MR Image Super-ResolutionarXiv:1810.06453
  • 16konIXI
    SSIM 4x T2w· 2018-10-15
    0.9413
    best: 0.9472 (SERAN)
    SOTA
    Channel Splitting Network for Single MR Image Super-ResolutionarXiv:1810.06453
  • 16konIXI
    SSIM for 2x T2w· 2018-10-15
    0.9863
    best: 0.9877 (EDSR+MMHCA)
    SOTA
    Channel Splitting Network for Single MR Image Super-ResolutionarXiv:1810.06453

Medical1 result

  • Semantic SegmentationonPartNet
    mIOU· 2020-03-20
    62.1
    SOTA
    Cross-Shape Attention for Part Segmentation of 3D Point CloudsarXiv:2003.09053

Audio1 result

  • 10-shot image generationonPartNet
    mIOU· 2020-03-20
    62.1
    SOTA
    Cross-Shape Attention for Part Segmentation of 3D Point CloudsarXiv:2003.09053