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Models/CoVeR (JFT-3B)

CoVeR (JFT-3B)

Reported on 6 benchmarks across 1 task · 1 paper · 3 SOTA

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

Computer Vision6 results

  • VideoonKinetics-700
    Top-1 Accuracy· uses extra data· 2021-12-14
    79.8
    best: 85.9 (InternVideo2-6B)
    SOTA
    Co-training Transformer with Videos and Images Improves Action RecognitionarXiv:2112.07175
  • VideoonKinetics-400
    Acc@1· 2021-12-14
    87.2
    best: 93.6 (OmniVec2)
    SOTA
    Co-training Transformer with Videos and Images Improves Action RecognitionarXiv:2112.07175
  • VideoonKinetics-400
    Acc@5· 2021-12-14
    97.5
    best: 98.9 (TubeViT-H (ImageNet-1k))
    SOTA
    Co-training Transformer with Videos and Images Improves Action RecognitionarXiv:2112.07175
  • VideoonKinetics-700
    Top-5 Accuracy· uses extra data· 2021-12-14
    94.9
    best: 96.7 (UMT-L (ViT-L/16))
    Co-training Transformer with Videos and Images Improves Action RecognitionarXiv:2112.07175
  • VideoonKinetics-600
    Top-1 Accuracy· uses extra data· 2021-12-14
    87.9
    best: 91.9 (InternVideo2-6B)
    Co-training Transformer with Videos and Images Improves Action RecognitionarXiv:2112.07175
  • VideoonKinetics-600
    Top-5 Accuracy· uses extra data· 2021-12-14
    97.8
    best: 98.9 (TubeVit-H)
    Co-training Transformer with Videos and Images Improves Action RecognitionarXiv:2112.07175