TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/ACC + Amphibian

ACC + Amphibian

Reported on 16 benchmarks across 2 tasks · 1 paper · 4 SOTA

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

Computer Vision16 results

  • Image ClassificationonFC100 5-way (5-shot)
    Accuracy· 2019-11-25
    66.9
    best: 70.6 (BAVARDAGE)
    SOTA
    Generalized Adaptation for Few-Shot LearningarXiv:1911.10807
  • Image ClassificationonCIFAR-FS 5-way (5-shot)
    Accuracy· 2019-11-25
    89.3
    best: 93.5 (CAML [Laion-2b])
    SOTA
    Generalized Adaptation for Few-Shot LearningarXiv:1911.10807
  • Few-Shot Image ClassificationonFC100 5-way (5-shot)
    Accuracy· 2019-11-25
    66.9
    best: 70.6 (BAVARDAGE)
    SOTA
    Generalized Adaptation for Few-Shot LearningarXiv:1911.10807
  • Few-Shot Image ClassificationonCIFAR-FS 5-way (5-shot)
    Accuracy· 2019-11-25
    89.3
    best: 93.5 (CAML [Laion-2b])
    SOTA
    Generalized Adaptation for Few-Shot LearningarXiv:1911.10807
  • Image ClassificationonCIFAR-FS 5-way (1-shot)
    Accuracy· 2019-11-25
    73.1
    best: 89.94 (PT+MAP+SF+SOT (transductive))
    Generalized Adaptation for Few-Shot LearningarXiv:1911.10807
  • Image ClassificationonMini-Imagenet 5-way (5-shot)
    Accuracy· 2019-11-25
    80.75
    best: 98.72 (SgVA-CLIP)
    Generalized Adaptation for Few-Shot LearningarXiv:1911.10807
  • Image ClassificationonMini-Imagenet 5-way (1-shot)
    Accuracy· 2019-11-25
    62.21
    best: 97.95 (SgVA-CLIP)
    Generalized Adaptation for Few-Shot LearningarXiv:1911.10807
  • Image ClassificationonFC100 5-way (1-shot)
    Accuracy· 2019-11-25
    41.6
    best: 57.27 (BAVARDAGE)
    Generalized Adaptation for Few-Shot LearningarXiv:1911.10807
  • Image ClassificationonTiered ImageNet 5-way (1-shot)
    Accuracy· 2019-11-25
    68.77
    best: 96.8 (CAML [Laion-2b])
    Generalized Adaptation for Few-Shot LearningarXiv:1911.10807
  • Image ClassificationonTiered ImageNet 5-way (5-shot)
    Accuracy· 2019-11-25
    86.75
    best: 98.8 (CAML [Laion-2b])
    Generalized Adaptation for Few-Shot LearningarXiv:1911.10807
  • Few-Shot Image ClassificationonCIFAR-FS 5-way (1-shot)
    Accuracy· 2019-11-25
    73.1
    best: 89.94 (PT+MAP+SF+SOT (transductive))
    Generalized Adaptation for Few-Shot LearningarXiv:1911.10807
  • Few-Shot Image ClassificationonMini-Imagenet 5-way (5-shot)
    Accuracy· 2019-11-25
    80.75
    best: 98.72 (SgVA-CLIP)
    Generalized Adaptation for Few-Shot LearningarXiv:1911.10807
  • Few-Shot Image ClassificationonMini-Imagenet 5-way (1-shot)
    Accuracy· 2019-11-25
    62.21
    best: 97.95 (SgVA-CLIP)
    Generalized Adaptation for Few-Shot LearningarXiv:1911.10807
  • Few-Shot Image ClassificationonFC100 5-way (1-shot)
    Accuracy· 2019-11-25
    41.6
    best: 57.27 (BAVARDAGE)
    Generalized Adaptation for Few-Shot LearningarXiv:1911.10807
  • Few-Shot Image ClassificationonTiered ImageNet 5-way (1-shot)
    Accuracy· 2019-11-25
    68.77
    best: 96.8 (CAML [Laion-2b])
    Generalized Adaptation for Few-Shot LearningarXiv:1911.10807
  • Few-Shot Image ClassificationonTiered ImageNet 5-way (5-shot)
    Accuracy· 2019-11-25
    86.75
    best: 98.8 (CAML [Laion-2b])
    Generalized Adaptation for Few-Shot LearningarXiv:1911.10807