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Models/SGM + Graph (ResNet-50)

SGM + Graph (ResNet-50)

Reported on 6 benchmarks across 2 tasks · 1 paper · 2 SOTA

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

Computer Vision6 results

  • Image ClassificationonImageNet-FS (5-shot, novel)
    Top-5 Accuracy (%)· 2021-02-14
    78.6
    best: 78.9 (KGTN-ens (ResNet-50, h+g, mean))
    SOTA
    Model-Agnostic Graph Regularization for Few-Shot LearningarXiv:2102.07077
  • Few-Shot Image ClassificationonImageNet-FS (5-shot, novel)
    Top-5 Accuracy (%)· 2021-02-14
    78.6
    best: 78.9 (KGTN-ens (ResNet-50, h+g, mean))
    SOTA
    Model-Agnostic Graph Regularization for Few-Shot LearningarXiv:2102.07077
  • Image ClassificationonImageNet-FS (1-shot, novel)
    Top-5 Accuracy (%)· 2021-02-14
    61.1
    best: 62.73 (KGTN-ens (ResNet-50, h+g, max))
    Model-Agnostic Graph Regularization for Few-Shot LearningarXiv:2102.07077
  • Image ClassificationonImageNet-FS (2-shot, novel)
    Top-5 Accuracy (%)· 2021-02-14
    70.3
    best: 71.48 (KGTN-ens (ResNet-50, h+g, max))
    Model-Agnostic Graph Regularization for Few-Shot LearningarXiv:2102.07077
  • Few-Shot Image ClassificationonImageNet-FS (1-shot, novel)
    Top-5 Accuracy (%)· 2021-02-14
    61.1
    best: 62.73 (KGTN-ens (ResNet-50, h+g, max))
    Model-Agnostic Graph Regularization for Few-Shot LearningarXiv:2102.07077
  • Few-Shot Image ClassificationonImageNet-FS (2-shot, novel)
    Top-5 Accuracy (%)· 2021-02-14
    70.3
    best: 71.48 (KGTN-ens (ResNet-50, h+g, max))
    Model-Agnostic Graph Regularization for Few-Shot LearningarXiv:2102.07077