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Models/SepConv-L1

SepConv-L1

Reported on 6 benchmarks across 2 tasks · 1 paper · 6 SOTA

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

Computer Vision6 results

  • VideoonVimeo90K
    PSNR· 2017-08-05
    33.8
    best: 40.17 (iSeeBetter)
    SOTA
    Video Frame Interpolation via Adaptive Separable ConvolutionarXiv:1708.01692
  • VideoonMiddlebury
    Interpolation Error· 2017-08-05
    5.61
    best: 4.216 (IFRNet)
    SOTA
    Video Frame Interpolation via Adaptive Separable ConvolutionarXiv:1708.01692
  • VideoonMSU Video Frame Interpolation
    PSNR· 2017-08-05
    26.36
    best: 29.89 (EMA-VFI)
    SOTA
    Video Frame Interpolation via Adaptive Separable ConvolutionarXiv:1708.01692
  • Video Frame InterpolationonVimeo90K
    PSNR· 2017-08-05
    33.8
    best: 36.76 (MA-CSPA)
    SOTA
    Video Frame Interpolation via Adaptive Separable ConvolutionarXiv:1708.01692
  • Video Frame InterpolationonMiddlebury
    Interpolation Error· 2017-08-05
    5.61
    best: 4.216 (IFRNet)
    SOTA
    Video Frame Interpolation via Adaptive Separable ConvolutionarXiv:1708.01692
  • Video Frame InterpolationonMSU Video Frame Interpolation
    PSNR· 2017-08-05
    26.36
    best: 29.89 (EMA-VFI)
    SOTA
    Video Frame Interpolation via Adaptive Separable ConvolutionarXiv:1708.01692