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Models/FVS

FVS

Reported on 8 benchmarks across 2 tasks · 1 paper · 8 SOTA

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

Computer Vision4 results

  • VideoonCityscapes
    LPIPS· uses extra data· 2020-04-01
    0.085
    best: 0.0558 (DMVFN)
    SOTA
    Future Video Synthesis with Object Motion PredictionarXiv:2004.00542
  • VideoonCityscapes
    MS-SSIM· uses extra data· 2020-04-01
    0.891
    best: 0.9573 (DMVFN)
    SOTA
    Future Video Synthesis with Object Motion PredictionarXiv:2004.00542
  • VideoonKITTI
    LPIPS· 2020-04-01
    0.1848
    best: 0.1074 (DMVFN)
    SOTA
    Future Video Synthesis with Object Motion PredictionarXiv:2004.00542
  • VideoonKITTI
    MS-SSIM· 2020-04-01
    0.7928
    best: 0.8853 (DMVFN)
    SOTA
    Future Video Synthesis with Object Motion PredictionarXiv:2004.00542

Time Series4 results

  • Video PredictiononCityscapes
    LPIPS· uses extra data· 2020-04-01
    0.085
    best: 0.0558 (DMVFN)
    SOTA
    Future Video Synthesis with Object Motion PredictionarXiv:2004.00542
  • Video PredictiononCityscapes
    MS-SSIM· uses extra data· 2020-04-01
    0.891
    best: 0.9573 (DMVFN)
    SOTA
    Future Video Synthesis with Object Motion PredictionarXiv:2004.00542
  • Video PredictiononKITTI
    LPIPS· 2020-04-01
    0.1848
    best: 0.1074 (DMVFN)
    SOTA
    Future Video Synthesis with Object Motion PredictionarXiv:2004.00542
  • Video PredictiononKITTI
    MS-SSIM· 2020-04-01
    0.7928
    best: 0.8853 (DMVFN)
    SOTA
    Future Video Synthesis with Object Motion PredictionarXiv:2004.00542