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Models/MSPFN

MSPFN

Reported on 10 benchmarks across 1 task · 1 paper · 6 SOTA

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

Computer Vision10 results

  • Rain RemovalonTest1200
    PSNR· 2020-03-24
    32.39
    best: 34.77 (CAPTNet)
    SOTA
    Multi-Scale Progressive Fusion Network for Single Image DerainingarXiv:2003.10985
  • Rain RemovalonTest1200
    SSIM· 2020-03-24
    0.916
    best: 0.937 (CAPTNet)
    SOTA
    Multi-Scale Progressive Fusion Network for Single Image DerainingarXiv:2003.10985
  • Rain RemovalonTest2800
    PSNR· 2020-03-24
    32.82
    best: 34.19 (KBNet)
    SOTA
    Multi-Scale Progressive Fusion Network for Single Image DerainingarXiv:2003.10985
  • Rain RemovalonTest2800
    SSIM· 2020-03-24
    0.93
    best: 0.944 (KBNet)
    SOTA
    Multi-Scale Progressive Fusion Network for Single Image DerainingarXiv:2003.10985
  • Rain RemovalonTest100
    PSNR· 2020-03-24
    27.5
    best: 32 (Restormer)
    SOTA
    Multi-Scale Progressive Fusion Network for Single Image DerainingarXiv:2003.10985
  • Rain RemovalonTest100
    SSIM· 2020-03-24
    0.876
    best: 0.923 (Restormer)
    SOTA
    Multi-Scale Progressive Fusion Network for Single Image DerainingarXiv:2003.10985
  • Rain RemovalonRain100H
    PSNR· 2020-03-24
    28.66
    best: 34.56 (GOUB (Mean-ODE))
    Multi-Scale Progressive Fusion Network for Single Image DerainingarXiv:2003.10985
  • Rain RemovalonRain100H
    SSIM· 2020-03-24
    0.86
    best: 0.9414 (GOUB (Mean-ODE))
    Multi-Scale Progressive Fusion Network for Single Image DerainingarXiv:2003.10985
  • Rain RemovalonRain100L
    PSNR· 2020-03-24
    32.4
    best: 41.62 (IPT)
    Multi-Scale Progressive Fusion Network for Single Image DerainingarXiv:2003.10985
  • Rain RemovalonRain100L
    SSIM· 2020-03-24
    0.933
    best: 0.988 (IPT)
    Multi-Scale Progressive Fusion Network for Single Image DerainingarXiv:2003.10985