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Models/Spatial-CNN

Spatial-CNN

Reported on 12 benchmarks across 2 tasks · 1 paper · 4 SOTA

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

Computer Vision6 results

  • DenoisingonCBSD68 sigma5
    PSNR· 2019-04-24
    39.73
    best: 40.05 (CBUIFD75)
    SOTA
    ViDeNN: Deep Blind Video DenoisingarXiv:1904.10898
  • DenoisingonCBSD68 sigma10
    PSNR· 2019-04-24
    35.92
    best: 35.98 (CBUIFD75)
    SOTA
    ViDeNN: Deep Blind Video DenoisingarXiv:1904.10898
  • DenoisingonCBSD68 sigma15
    PSNR· 2019-04-24
    33.66
    best: 34.64 (AKDT)
    ViDeNN: Deep Blind Video DenoisingarXiv:1904.10898
  • DenoisingonCBSD68 sigma25
    PSNR· 2019-04-24
    30.99
    best: 31.94 (AKDT)
    ViDeNN: Deep Blind Video DenoisingarXiv:1904.10898
  • DenoisingonCBSD68 sigma35
    PSNR· 2019-04-24
    29.34
    best: 30.24 (ADL)
    ViDeNN: Deep Blind Video DenoisingarXiv:1904.10898
  • DenoisingonCBSD68 sigma50
    PSNR· 2019-04-24
    27.63
    best: 29.39 (IPT)
    ViDeNN: Deep Blind Video DenoisingarXiv:1904.10898

Adversarial6 results

  • 3D ArchitectureonCBSD68 sigma5
    PSNR· 2019-04-24
    39.73
    best: 40.05 (CBUIFD75)
    SOTA
    ViDeNN: Deep Blind Video DenoisingarXiv:1904.10898
  • 3D ArchitectureonCBSD68 sigma10
    PSNR· 2019-04-24
    35.92
    best: 35.98 (CBUIFD75)
    SOTA
    ViDeNN: Deep Blind Video DenoisingarXiv:1904.10898
  • 3D ArchitectureonCBSD68 sigma15
    PSNR· 2019-04-24
    33.66
    best: 34.64 (AKDT)
    ViDeNN: Deep Blind Video DenoisingarXiv:1904.10898
  • 3D ArchitectureonCBSD68 sigma25
    PSNR· 2019-04-24
    30.99
    best: 31.94 (AKDT)
    ViDeNN: Deep Blind Video DenoisingarXiv:1904.10898
  • 3D ArchitectureonCBSD68 sigma35
    PSNR· 2019-04-24
    29.34
    best: 30.24 (ADL)
    ViDeNN: Deep Blind Video DenoisingarXiv:1904.10898
  • 3D ArchitectureonCBSD68 sigma50
    PSNR· 2019-04-24
    27.63
    best: 29.39 (IPT)
    ViDeNN: Deep Blind Video DenoisingarXiv:1904.10898