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Models/EASY 2xResNet12 1/√2 (inductive)

EASY 2xResNet12 1/√2 (inductive)

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· 2022-01-24
    75.24
    best: 89.94 (PT+MAP+SF+SOT (transductive))
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699
  • Image ClassificationonMini-Imagenet 5-way (5-shot)
    Accuracy· 2022-01-24
    86.28
    best: 98.72 (SgVA-CLIP)
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699
  • Image ClassificationonMini-Imagenet 5-way (1-shot)
    Accuracy· 2022-01-24
    70.63
    best: 97.95 (SgVA-CLIP)
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699
  • Image ClassificationonFC100 5-way (5-shot)
    Accuracy· 2022-01-24
    64.14
    best: 70.6 (BAVARDAGE)
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699
  • Image ClassificationonFC100 5-way (1-shot)
    Accuracy· 2022-01-24
    47.94
    best: 57.27 (BAVARDAGE)
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699
  • Image ClassificationonCIFAR-FS 5-way (5-shot)
    Accuracy· 2022-01-24
    88.38
    best: 93.5 (CAML [Laion-2b])
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699
  • Few-Shot Image ClassificationonCIFAR-FS 5-way (1-shot)
    Accuracy· 2022-01-24
    75.24
    best: 89.94 (PT+MAP+SF+SOT (transductive))
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699
  • Few-Shot Image ClassificationonMini-Imagenet 5-way (5-shot)
    Accuracy· 2022-01-24
    86.28
    best: 98.72 (SgVA-CLIP)
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699
  • Few-Shot Image ClassificationonMini-Imagenet 5-way (1-shot)
    Accuracy· 2022-01-24
    70.63
    best: 97.95 (SgVA-CLIP)
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699
  • Few-Shot Image ClassificationonFC100 5-way (5-shot)
    Accuracy· 2022-01-24
    64.14
    best: 70.6 (BAVARDAGE)
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699
  • Few-Shot Image ClassificationonFC100 5-way (1-shot)
    Accuracy· 2022-01-24
    47.94
    best: 57.27 (BAVARDAGE)
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699
  • Few-Shot Image ClassificationonCIFAR-FS 5-way (5-shot)
    Accuracy· 2022-01-24
    88.38
    best: 93.5 (CAML [Laion-2b])
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699