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Models/BDCSPN

BDCSPN

Reported on 10 benchmarks across 2 tasks · 1 paper · 8 SOTA

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

Computer Vision10 results

  • Image ClassificationonDirichlet Mini-Imagenet (5-way, 5-shot)
    1:1 Accuracy· 2019-11-25
    80.2
    best: 83.6 (BAVARDAGE)
    SOTA
    Prototype Rectification for Few-Shot LearningarXiv:1911.10713
  • Image ClassificationonDirichlet Tiered-Imagenet (5-way, 5-shot)
    1:1 Accuracy· 2019-11-25
    84.8
    best: 86.6 (\alpha-TIM)
    SOTA
    Prototype Rectification for Few-Shot LearningarXiv:1911.10713
  • Image ClassificationonDirichlet CUB-200 (5-way, 1-shot)
    1:1 Accuracy· 2019-11-25
    74.5
    best: 82 (BAVARDAGE)
    SOTA
    Prototype Rectification for Few-Shot LearningarXiv:1911.10713
  • Image ClassificationonDirichlet Tiered-Imagenet (5-way, 1-shot)
    1:1 Accuracy· 2019-11-25
    74.1
    best: 76.6 (BAVARDAGE)
    SOTA
    Prototype Rectification for Few-Shot LearningarXiv:1911.10713
  • Few-Shot Image ClassificationonDirichlet Mini-Imagenet (5-way, 5-shot)
    1:1 Accuracy· 2019-11-25
    80.2
    best: 83.6 (BAVARDAGE)
    SOTA
    Prototype Rectification for Few-Shot LearningarXiv:1911.10713
  • Few-Shot Image ClassificationonDirichlet Tiered-Imagenet (5-way, 5-shot)
    1:1 Accuracy· 2019-11-25
    84.8
    best: 86.6 (\alpha-TIM)
    SOTA
    Prototype Rectification for Few-Shot LearningarXiv:1911.10713
  • Few-Shot Image ClassificationonDirichlet CUB-200 (5-way, 1-shot)
    1:1 Accuracy· 2019-11-25
    74.5
    best: 82 (BAVARDAGE)
    SOTA
    Prototype Rectification for Few-Shot LearningarXiv:1911.10713
  • Few-Shot Image ClassificationonDirichlet Tiered-Imagenet (5-way, 1-shot)
    1:1 Accuracy· 2019-11-25
    74.1
    best: 76.6 (BAVARDAGE)
    SOTA
    Prototype Rectification for Few-Shot LearningarXiv:1911.10713
  • Image ClassificationonDirichlet CUB-200 (5-way, 5-shot)
    1:1 Accuracy· 2019-11-25
    87.1
    best: 90.7 (BAVARDAGE)
    Prototype Rectification for Few-Shot LearningarXiv:1911.10713
  • Few-Shot Image ClassificationonDirichlet CUB-200 (5-way, 5-shot)
    1:1 Accuracy· 2019-11-25
    87.1
    best: 90.7 (BAVARDAGE)
    Prototype Rectification for Few-Shot LearningarXiv:1911.10713