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Models/CoVeR(JFT-300M)

CoVeR(JFT-300M)

Reported on 6 benchmarks across 3 tasks · 1 paper

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

Computer Vision2 results

  • VideoonMiT
    Top 1 Accuracy· uses extra data· 2021-12-14
    45
    best: 53.1 (OmniVec2)
    Co-training Transformer with Videos and Images Improves Action RecognitionarXiv:2112.07175
  • VideoonMiT
    Top 5 Accuracy· uses extra data· 2021-12-14
    73.9
    best: 78.2 (UMT-L (ViT-L/16))
    Co-training Transformer with Videos and Images Improves Action RecognitionarXiv:2112.07175

Robots2 results

  • Activity RecognitiononSomething-Something V2
    Top-1 Accuracy· uses extra data· 2021-12-14
    69.8
    best: 77.3 (MVD (Kinetics400 pretrain, ViT-H, 16 frame))
    Co-training Transformer with Videos and Images Improves Action RecognitionarXiv:2112.07175
  • Activity RecognitiononSomething-Something V2
    Top-5 Accuracy· uses extra data· 2021-12-14
    91.9
    best: 96.3 (DejaVid)
    Co-training Transformer with Videos and Images Improves Action RecognitionarXiv:2112.07175

Time Series2 results

  • Action RecognitiononSomething-Something V2
    Top-1 Accuracy· uses extra data· 2021-12-14
    69.8
    best: 77.3 (MVD (Kinetics400 pretrain, ViT-H, 16 frame))
    Co-training Transformer with Videos and Images Improves Action RecognitionarXiv:2112.07175
  • Action RecognitiononSomething-Something V2
    Top-5 Accuracy· uses extra data· 2021-12-14
    91.9
    best: 96.3 (DejaVid)
    Co-training Transformer with Videos and Images Improves Action RecognitionarXiv:2112.07175