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Models/GML (ResNet-12)

GML (ResNet-12)

Reported on 12 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 Vision12 results

  • Image ClassificationonCIFAR-FS 5-way (1-shot)
    Accuracy· 2025-01-24
    71.09
    best: 89.94 (PT+MAP+SF+SOT (transductive))
    Geometric Mean Improves Loss For Few-Shot LearningarXiv:2501.14593
  • Image ClassificationonMini-Imagenet 5-way (5-shot)
    Accuracy· 2025-01-24
    81.13
    best: 98.72 (SgVA-CLIP)
    Geometric Mean Improves Loss For Few-Shot LearningarXiv:2501.14593
  • Image ClassificationonMini-Imagenet 5-way (1-shot)
    Accuracy· 2025-01-24
    65.51
    best: 97.95 (SgVA-CLIP)
    Geometric Mean Improves Loss For Few-Shot LearningarXiv:2501.14593
  • Image ClassificationonTiered ImageNet 5-way (1-shot)
    Accuracy· 2025-01-24
    69.61
    best: 96.8 (CAML [Laion-2b])
    Geometric Mean Improves Loss For Few-Shot LearningarXiv:2501.14593
  • Image ClassificationonTiered ImageNet 5-way (5-shot)
    Accuracy· 2025-01-24
    84.04
    best: 98.8 (CAML [Laion-2b])
    Geometric Mean Improves Loss For Few-Shot LearningarXiv:2501.14593
  • Image ClassificationonCIFAR-FS 5-way (5-shot)
    Accuracy· 2025-01-24
    85.08
    best: 93.5 (CAML [Laion-2b])
    Geometric Mean Improves Loss For Few-Shot LearningarXiv:2501.14593
  • Few-Shot Image ClassificationonCIFAR-FS 5-way (1-shot)
    Accuracy· 2025-01-24
    71.09
    best: 89.94 (PT+MAP+SF+SOT (transductive))
    Geometric Mean Improves Loss For Few-Shot LearningarXiv:2501.14593
  • Few-Shot Image ClassificationonMini-Imagenet 5-way (5-shot)
    Accuracy· 2025-01-24
    81.13
    best: 98.72 (SgVA-CLIP)
    Geometric Mean Improves Loss For Few-Shot LearningarXiv:2501.14593
  • Few-Shot Image ClassificationonMini-Imagenet 5-way (1-shot)
    Accuracy· 2025-01-24
    65.51
    best: 97.95 (SgVA-CLIP)
    Geometric Mean Improves Loss For Few-Shot LearningarXiv:2501.14593
  • Few-Shot Image ClassificationonTiered ImageNet 5-way (1-shot)
    Accuracy· 2025-01-24
    69.61
    best: 96.8 (CAML [Laion-2b])
    Geometric Mean Improves Loss For Few-Shot LearningarXiv:2501.14593
  • Few-Shot Image ClassificationonTiered ImageNet 5-way (5-shot)
    Accuracy· 2025-01-24
    84.04
    best: 98.8 (CAML [Laion-2b])
    Geometric Mean Improves Loss For Few-Shot LearningarXiv:2501.14593
  • Few-Shot Image ClassificationonCIFAR-FS 5-way (5-shot)
    Accuracy· 2025-01-24
    85.08
    best: 93.5 (CAML [Laion-2b])
    Geometric Mean Improves Loss For Few-Shot LearningarXiv:2501.14593