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Models/DiffKendall (Meta-Baseline, ResNet-12)

DiffKendall (Meta-Baseline, ResNet-12)

Reported on 8 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 Vision8 results

  • Image ClassificationonMini-Imagenet 5-way (5-shot)
    Accuracy· 2023-07-28
    80.79
    best: 98.72 (SgVA-CLIP)
    DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank CorrelationarXiv:2307.15317
  • Image ClassificationonMini-Imagenet 5-way (1-shot)
    Accuracy· 2023-07-28
    65.56
    best: 97.95 (SgVA-CLIP)
    DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank CorrelationarXiv:2307.15317
  • Image ClassificationonTiered ImageNet 5-way (1-shot)
    Accuracy· 2023-07-28
    70.76
    best: 96.8 (CAML [Laion-2b])
    DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank CorrelationarXiv:2307.15317
  • Image ClassificationonTiered ImageNet 5-way (5-shot)
    Accuracy· 2023-07-28
    85.31
    best: 98.8 (CAML [Laion-2b])
    DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank CorrelationarXiv:2307.15317
  • Few-Shot Image ClassificationonMini-Imagenet 5-way (5-shot)
    Accuracy· 2023-07-28
    80.79
    best: 98.72 (SgVA-CLIP)
    DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank CorrelationarXiv:2307.15317
  • Few-Shot Image ClassificationonMini-Imagenet 5-way (1-shot)
    Accuracy· 2023-07-28
    65.56
    best: 97.95 (SgVA-CLIP)
    DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank CorrelationarXiv:2307.15317
  • Few-Shot Image ClassificationonTiered ImageNet 5-way (1-shot)
    Accuracy· 2023-07-28
    70.76
    best: 96.8 (CAML [Laion-2b])
    DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank CorrelationarXiv:2307.15317
  • Few-Shot Image ClassificationonTiered ImageNet 5-way (5-shot)
    Accuracy· 2023-07-28
    85.31
    best: 98.8 (CAML [Laion-2b])
    DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank CorrelationarXiv:2307.15317