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Models/MML(KL)

MML(KL)

Reported on 8 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 Vision8 results

  • Image ClassificationonStanford Dogs 5-way (1-shot)
    Accuracy· 2021-03-21
    59.05
    SOTA
    Multi-level Metric Learning for Few-shot Image RecognitionarXiv:2103.11383
  • Image ClassificationonStanford Dogs 5-way (5-shot)
    Accuracy· 2021-03-21
    75.59
    SOTA
    Multi-level Metric Learning for Few-shot Image RecognitionarXiv:2103.11383
  • Few-Shot Image ClassificationonStanford Dogs 5-way (1-shot)
    Accuracy· 2021-03-21
    59.05
    SOTA
    Multi-level Metric Learning for Few-shot Image RecognitionarXiv:2103.11383
  • Few-Shot Image ClassificationonStanford Dogs 5-way (5-shot)
    Accuracy· 2021-03-21
    75.59
    SOTA
    Multi-level Metric Learning for Few-shot Image RecognitionarXiv:2103.11383
  • Image ClassificationonStanford Cars 5-way (5-shot)
    Accuracy· 2021-03-21
    91.05
    best: 91.89 (MATANet)
    Multi-level Metric Learning for Few-shot Image RecognitionarXiv:2103.11383
  • Image ClassificationonStanford Cars 5-way (1-shot)
    Accuracy· 2021-03-21
    72.43
    best: 73.15 (MATANet)
    Multi-level Metric Learning for Few-shot Image RecognitionarXiv:2103.11383
  • Few-Shot Image ClassificationonStanford Cars 5-way (5-shot)
    Accuracy· 2021-03-21
    91.05
    best: 91.89 (MATANet)
    Multi-level Metric Learning for Few-shot Image RecognitionarXiv:2103.11383
  • Few-Shot Image ClassificationonStanford Cars 5-way (1-shot)
    Accuracy· 2021-03-21
    72.43
    best: 73.15 (MATANet)
    Multi-level Metric Learning for Few-shot Image RecognitionarXiv:2103.11383