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Models/S-Net

S-Net

Reported on 24 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.

Computer Vision12 results

  • Image RestorationonLive1 (Quality 10 Grayscale)
    PSNR· 2018-10-18
    29.44
    best: 29.94 (Hi-IR)
    S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact ReductionarXiv:1810.07960
  • Image RestorationonLive1 (Quality 10 Grayscale)
    PSNR-B· 2018-10-18
    29.39
    best: 29.66 (IDCN)
    S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact ReductionarXiv:1810.07960
  • Image RestorationonLive1 (Quality 10 Grayscale)
    SSIM· 2018-10-18
    0.8325
    best: 0.84 (QGAC)
    S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact ReductionarXiv:1810.07960
  • Image RestorationonLIVE1 (Quality 10 Color)
    PSNR· 2018-10-18
    27.35
    best: 28.36 (Hi-IR)
    S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact ReductionarXiv:1810.07960
  • Image RestorationonLIVE1 (Quality 10 Color)
    PSNR-B· 2018-10-18
    27.36
    best: 27.63 (IDCN)
    S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact ReductionarXiv:1810.07960
  • Image RestorationonLIVE1 (Quality 10 Color)
    SSIM· 2018-10-18
    0.809
    best: 0.819 (QGAC)
    S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact ReductionarXiv:1810.07960
  • Image RestorationonLIVE1 (Quality 20 Color)
    PSNR· 2018-10-18
    29.81
    best: 30.66 (Hi-IR)
    S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact ReductionarXiv:1810.07960
  • Image RestorationonLIVE1 (Quality 20 Color)
    PSNR-B· 2018-10-18
    29.79
    best: 30.01 (IDCN)
    S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact ReductionarXiv:1810.07960
  • Image RestorationonLIVE1 (Quality 20 Color)
    SSIM· 2018-10-18
    0.878
    best: 0.882 (IDCN)
    S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact ReductionarXiv:1810.07960
  • Image RestorationonLIVE1 (Quality 20 Grayscale)
    PSNR· 2018-10-18
    31.83
    best: 32.31 (Hi-IR)
    S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact ReductionarXiv:1810.07960
  • Image RestorationonLIVE1 (Quality 20 Grayscale)
    PSNR-B· 2018-10-18
    31.76
    best: 32 (IDCN)
    S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact ReductionarXiv:1810.07960
  • Image RestorationonLIVE1 (Quality 20 Grayscale)
    SSIM· 2018-10-18
    0.8975
    best: 0.901 (QGAC)
    S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact ReductionarXiv:1810.07960

Audio12 results

  • 10-shot image generationonLive1 (Quality 10 Grayscale)
    PSNR· 2018-10-18
    29.44
    best: 29.94 (Hi-IR)
    S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact ReductionarXiv:1810.07960
  • 10-shot image generationonLive1 (Quality 10 Grayscale)
    PSNR-B· 2018-10-18
    29.39
    best: 29.66 (IDCN)
    S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact ReductionarXiv:1810.07960
  • 10-shot image generationonLive1 (Quality 10 Grayscale)
    SSIM· 2018-10-18
    0.8325
    best: 0.84 (QGAC)
    S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact ReductionarXiv:1810.07960
  • 10-shot image generationonLIVE1 (Quality 10 Color)
    PSNR· 2018-10-18
    27.35
    best: 28.36 (Hi-IR)
    S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact ReductionarXiv:1810.07960
  • 10-shot image generationonLIVE1 (Quality 10 Color)
    PSNR-B· 2018-10-18
    27.36
    best: 27.63 (IDCN)
    S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact ReductionarXiv:1810.07960
  • 10-shot image generationonLIVE1 (Quality 10 Color)
    SSIM· 2018-10-18
    0.809
    best: 0.819 (QGAC)
    S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact ReductionarXiv:1810.07960
  • 10-shot image generationonLIVE1 (Quality 20 Color)
    PSNR· 2018-10-18
    29.81
    best: 30.66 (Hi-IR)
    S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact ReductionarXiv:1810.07960
  • 10-shot image generationonLIVE1 (Quality 20 Color)
    PSNR-B· 2018-10-18
    29.79
    best: 30.01 (IDCN)
    S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact ReductionarXiv:1810.07960
  • 10-shot image generationonLIVE1 (Quality 20 Color)
    SSIM· 2018-10-18
    0.878
    best: 0.882 (IDCN)
    S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact ReductionarXiv:1810.07960
  • 10-shot image generationonLIVE1 (Quality 20 Grayscale)
    PSNR· 2018-10-18
    31.83
    best: 32.31 (Hi-IR)
    S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact ReductionarXiv:1810.07960
  • 10-shot image generationonLIVE1 (Quality 20 Grayscale)
    PSNR-B· 2018-10-18
    31.76
    best: 32 (IDCN)
    S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact ReductionarXiv:1810.07960
  • 10-shot image generationonLIVE1 (Quality 20 Grayscale)
    SSIM· 2018-10-18
    0.8975
    best: 0.901 (QGAC)
    S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact ReductionarXiv:1810.07960