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/MetaQDA

MetaQDA

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· 2021-01-08
    75.83
    best: 89.94 (PT+MAP+SF+SOT (transductive))
    Shallow Bayesian Meta Learning for Real-World Few-Shot RecognitionarXiv:2101.02833
  • Image ClassificationonMini-Imagenet 5-way (5-shot)
    Accuracy· 2021-01-08
    84.28
    best: 98.72 (SgVA-CLIP)
    Shallow Bayesian Meta Learning for Real-World Few-Shot RecognitionarXiv:2101.02833
  • Image ClassificationonMini-Imagenet 5-way (1-shot)
    Accuracy· 2021-01-08
    67.83
    best: 97.95 (SgVA-CLIP)
    Shallow Bayesian Meta Learning for Real-World Few-Shot RecognitionarXiv:2101.02833
  • Image ClassificationonTiered ImageNet 5-way (1-shot)
    Accuracy· 2021-01-08
    74.33
    best: 96.8 (CAML [Laion-2b])
    Shallow Bayesian Meta Learning for Real-World Few-Shot RecognitionarXiv:2101.02833
  • Image ClassificationonTiered ImageNet 5-way (5-shot)
    Accuracy· 2021-01-08
    89.56
    best: 98.8 (CAML [Laion-2b])
    Shallow Bayesian Meta Learning for Real-World Few-Shot RecognitionarXiv:2101.02833
  • Image ClassificationonCIFAR-FS 5-way (5-shot)
    Accuracy· 2021-01-08
    88.79
    best: 93.5 (CAML [Laion-2b])
    Shallow Bayesian Meta Learning for Real-World Few-Shot RecognitionarXiv:2101.02833
  • Few-Shot Image ClassificationonCIFAR-FS 5-way (1-shot)
    Accuracy· 2021-01-08
    75.83
    best: 89.94 (PT+MAP+SF+SOT (transductive))
    Shallow Bayesian Meta Learning for Real-World Few-Shot RecognitionarXiv:2101.02833
  • Few-Shot Image ClassificationonMini-Imagenet 5-way (5-shot)
    Accuracy· 2021-01-08
    84.28
    best: 98.72 (SgVA-CLIP)
    Shallow Bayesian Meta Learning for Real-World Few-Shot RecognitionarXiv:2101.02833
  • Few-Shot Image ClassificationonMini-Imagenet 5-way (1-shot)
    Accuracy· 2021-01-08
    67.83
    best: 97.95 (SgVA-CLIP)
    Shallow Bayesian Meta Learning for Real-World Few-Shot RecognitionarXiv:2101.02833
  • Few-Shot Image ClassificationonTiered ImageNet 5-way (1-shot)
    Accuracy· 2021-01-08
    74.33
    best: 96.8 (CAML [Laion-2b])
    Shallow Bayesian Meta Learning for Real-World Few-Shot RecognitionarXiv:2101.02833
  • Few-Shot Image ClassificationonTiered ImageNet 5-way (5-shot)
    Accuracy· 2021-01-08
    89.56
    best: 98.8 (CAML [Laion-2b])
    Shallow Bayesian Meta Learning for Real-World Few-Shot RecognitionarXiv:2101.02833
  • Few-Shot Image ClassificationonCIFAR-FS 5-way (5-shot)
    Accuracy· 2021-01-08
    88.79
    best: 93.5 (CAML [Laion-2b])
    Shallow Bayesian Meta Learning for Real-World Few-Shot RecognitionarXiv:2101.02833