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

EASY 2xResNet12 1/√2 (transductive)

Reported on 12 benchmarks across 2 tasks · 1 paper · 2 SOTA

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

Computer Vision12 results

  • Image ClassificationonFC100 5-way (1-shot)
    Accuracy· 2022-01-24
    54.47
    best: 57.27 (BAVARDAGE)
    SOTA
    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
    54.47
    best: 57.27 (BAVARDAGE)
    SOTA
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699
  • Image ClassificationonCIFAR-FS 5-way (1-shot)
    Accuracy· 2022-01-24
    86.99
    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
    88.57
    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
    82.31
    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
    65.82
    best: 70.6 (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
    90.2
    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
    86.99
    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
    88.57
    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
    82.31
    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
    65.82
    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 ClassificationonCIFAR-FS 5-way (5-shot)
    Accuracy· 2022-01-24
    90.2
    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