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Models/\alpha-TIM

\alpha-TIM

Reported on 12 benchmarks across 2 tasks · 1 paper · 10 SOTA

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

Computer Vision12 results

  • Image ClassificationonDirichlet Mini-Imagenet (5-way, 5-shot)
    1:1 Accuracy· 2022-04-24
    82.5
    best: 83.6 (BAVARDAGE)
    SOTA
    Realistic Evaluation of Transductive Few-Shot LearningarXiv:2204.11181
  • Image ClassificationonDirichlet Tiered-Imagenet (5-way, 5-shot)
    1:1 Accuracy· 2022-04-24
    86.6
    SOTA
    Realistic Evaluation of Transductive Few-Shot LearningarXiv:2204.11181
  • Image ClassificationonDirichlet CUB-200 (5-way, 1-shot)
    1:1 Accuracy· 2022-04-24
    75.7
    best: 82 (BAVARDAGE)
    SOTA
    Realistic Evaluation of Transductive Few-Shot LearningarXiv:2204.11181
  • Image ClassificationonDirichlet Mini-Imagenet (5-way, 1-shot)
    1:1 Accuracy· 2022-04-24
    67.4
    best: 71 (BAVARDAGE)
    SOTA
    Realistic Evaluation of Transductive Few-Shot LearningarXiv:2204.11181
  • Image ClassificationonDirichlet CUB-200 (5-way, 5-shot)
    1:1 Accuracy· 2022-04-24
    89.8
    best: 90.7 (BAVARDAGE)
    SOTA
    Realistic Evaluation of Transductive Few-Shot LearningarXiv:2204.11181
  • Few-Shot Image ClassificationonDirichlet Mini-Imagenet (5-way, 5-shot)
    1:1 Accuracy· 2022-04-24
    82.5
    best: 83.6 (BAVARDAGE)
    SOTA
    Realistic Evaluation of Transductive Few-Shot LearningarXiv:2204.11181
  • Few-Shot Image ClassificationonDirichlet Tiered-Imagenet (5-way, 5-shot)
    1:1 Accuracy· 2022-04-24
    86.6
    SOTA
    Realistic Evaluation of Transductive Few-Shot LearningarXiv:2204.11181
  • Few-Shot Image ClassificationonDirichlet CUB-200 (5-way, 1-shot)
    1:1 Accuracy· 2022-04-24
    75.7
    best: 82 (BAVARDAGE)
    SOTA
    Realistic Evaluation of Transductive Few-Shot LearningarXiv:2204.11181
  • Few-Shot Image ClassificationonDirichlet Mini-Imagenet (5-way, 1-shot)
    1:1 Accuracy· 2022-04-24
    67.4
    best: 71 (BAVARDAGE)
    SOTA
    Realistic Evaluation of Transductive Few-Shot LearningarXiv:2204.11181
  • Few-Shot Image ClassificationonDirichlet CUB-200 (5-way, 5-shot)
    1:1 Accuracy· 2022-04-24
    89.8
    best: 90.7 (BAVARDAGE)
    SOTA
    Realistic Evaluation of Transductive Few-Shot LearningarXiv:2204.11181
  • Image ClassificationonDirichlet Tiered-Imagenet (5-way, 1-shot)
    1:1 Accuracy· 2022-04-24
    74.4
    best: 76.6 (BAVARDAGE)
    Realistic Evaluation of Transductive Few-Shot LearningarXiv:2204.11181
  • Few-Shot Image ClassificationonDirichlet Tiered-Imagenet (5-way, 1-shot)
    1:1 Accuracy· 2022-04-24
    74.4
    best: 76.6 (BAVARDAGE)
    Realistic Evaluation of Transductive Few-Shot LearningarXiv:2204.11181