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Models/OPT

OPT

Reported on 10 benchmarks across 4 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 Vision5 results

  • Image RetrievalonLocalized Narratives
    Text-to-image R@1· 2021-07-01
    0.4196
    SOTA
    OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and GenerationarXiv:2107.00249
  • Image RetrievalonLocalized Narratives
    Text-to-image R@10· 2021-07-01
    0.8126
    SOTA
    OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and GenerationarXiv:2107.00249
  • Image RetrievalonLocalized Narratives
    Text-to-image R@5· 2021-07-01
    0.72
    SOTA
    OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and GenerationarXiv:2107.00249
  • VideoonVimeo90K
    LPIPS
    0.0359
    best: 0.01 (CDFI)
  • VideoonVimeo90K
    MS-SSIM
    0.9675
    best: 0.9701 (DMVFN)

Audio3 results

  • Text to Audio RetrievalonLocalized Narratives
    Text-to-audio R@1· 2021-07-01
    0.78
    SOTA
    OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and GenerationarXiv:2107.00249
  • Text to Audio RetrievalonLocalized Narratives
    Text-to-audio R@10· 2021-07-01
    0.958
    SOTA
    OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and GenerationarXiv:2107.00249
  • Text to Audio RetrievalonLocalized Narratives
    Text-to-audio R@5· 2021-07-01
    0.927
    SOTA
    OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and GenerationarXiv:2107.00249

Time Series2 results

  • Video PredictiononVimeo90K
    LPIPS
    0.0359
  • Video PredictiononVimeo90K
    MS-SSIM
    0.9675
    best: 0.9701 (DMVFN)