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Models/V-MoE-H/14 (Last-5)

V-MoE-H/14 (Last-5)

Reported on 7 benchmarks across 2 tasks · 1 paper

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

Computer Vision7 results

  • Image ClassificationonJFT-300M
    prec@1· 2021-06-10
    60.12
    best: 60.62 (V-MoE-H/14 (Every-2))
    Scaling Vision with Sparse Mixture of ExpertsarXiv:2106.05974
  • Image ClassificationonImageNet - 5-shot
    Top 1 Accuracy· 2021-06-10
    78.08
    best: 82.78 (ViT-MoE-15B (Every-2))
    Scaling Vision with Sparse Mixture of ExpertsarXiv:2106.05974
  • Image ClassificationonImageNet - 10-shot
    Top 1 Accuracy· 2021-06-10
    80.1
    best: 84.6 (MAWS (ViT-6.5B))
    Scaling Vision with Sparse Mixture of ExpertsarXiv:2106.05974
  • Image ClassificationonImageNet - 1-shot
    Top 1 Accuracy· 2021-06-10
    62.95
    best: 68.66 (ViT-MoE-15B (Every-2))
    Scaling Vision with Sparse Mixture of ExpertsarXiv:2106.05974
  • Few-Shot Image ClassificationonImageNet - 5-shot
    Top 1 Accuracy· 2021-06-10
    78.08
    best: 82.78 (ViT-MoE-15B (Every-2))
    Scaling Vision with Sparse Mixture of ExpertsarXiv:2106.05974
  • Few-Shot Image ClassificationonImageNet - 10-shot
    Top 1 Accuracy· 2021-06-10
    80.1
    best: 84.6 (MAWS (ViT-6.5B))
    Scaling Vision with Sparse Mixture of ExpertsarXiv:2106.05974
  • Few-Shot Image ClassificationonImageNet - 1-shot
    Top 1 Accuracy· 2021-06-10
    62.95
    best: 68.66 (ViT-MoE-15B (Every-2))
    Scaling Vision with Sparse Mixture of ExpertsarXiv:2106.05974