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Models/SAMPTransfer (Conv4)

SAMPTransfer (Conv4)

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 ClassificationonTiered ImageNet 5-way (5-shot)
    Accuracy· 2022-10-12
    65.19
    best: 98.8 (CAML [Laion-2b])
    Self-Attention Message Passing for Contrastive Few-Shot LearningarXiv:2210.06339
  • Image ClassificationonMini-Imagenet 5-way (1-shot)
    Accuracy· 2022-10-12
    61.02
    best: 97.95 (SgVA-CLIP)
    Self-Attention Message Passing for Contrastive Few-Shot LearningarXiv:2210.06339
  • Image ClassificationonTiered ImageNet 5-way (1-shot)
    Accuracy· 2022-10-12
    49.1
    best: 96.8 (CAML [Laion-2b])
    Self-Attention Message Passing for Contrastive Few-Shot LearningarXiv:2210.06339
  • Image ClassificationonMini-Imagenet 5-way (5-shot)
    Accuracy· 2022-10-12
    72.52
    best: 98.72 (SgVA-CLIP)
    Self-Attention Message Passing for Contrastive Few-Shot LearningarXiv:2210.06339
  • Few-Shot Image ClassificationonTiered ImageNet 5-way (5-shot)
    Accuracy· 2022-10-12
    65.19
    best: 98.8 (CAML [Laion-2b])
    Self-Attention Message Passing for Contrastive Few-Shot LearningarXiv:2210.06339
  • Few-Shot Image ClassificationonMini-Imagenet 5-way (1-shot)
    Accuracy· 2022-10-12
    61.02
    best: 97.95 (SgVA-CLIP)
    Self-Attention Message Passing for Contrastive Few-Shot LearningarXiv:2210.06339
  • Few-Shot Image ClassificationonTiered ImageNet 5-way (1-shot)
    Accuracy· 2022-10-12
    49.1
    best: 96.8 (CAML [Laion-2b])
    Self-Attention Message Passing for Contrastive Few-Shot LearningarXiv:2210.06339
  • Few-Shot Image ClassificationonMini-Imagenet 5-way (5-shot)
    Accuracy· 2022-10-12
    72.52
    best: 98.72 (SgVA-CLIP)
    Self-Attention Message Passing for Contrastive Few-Shot LearningarXiv:2210.06339