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Models/PT+MAP+SF+SOT (transductive)

PT+MAP+SF+SOT (transductive)

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 ClassificationonCUB 200 5-way 5-shot
    Accuracy· uses extra data· 2022-04-06
    97.12
    best: 98.7 (CAML [Laion-2b])
    SOTA
    The Self-Optimal-Transport Feature TransformarXiv:2204.03065
  • Image ClassificationonCUB 200 5-way 1-shot
    Accuracy· 2022-04-06
    95.8
    SOTA
    The Self-Optimal-Transport Feature TransformarXiv:2204.03065
  • Image ClassificationonCIFAR-FS 5-way (1-shot)
    Accuracy· 2022-04-06
    89.94
    SOTA
    The Self-Optimal-Transport Feature TransformarXiv:2204.03065
  • Image ClassificationonMini-Imagenet 5-way (1-shot)
    Accuracy· 2022-04-06
    85.59
    best: 97.95 (SgVA-CLIP)
    SOTA
    The Self-Optimal-Transport Feature TransformarXiv:2204.03065
  • Image ClassificationonCIFAR-FS 5-way (5-shot)
    Accuracy· 2022-04-06
    92.83
    best: 93.5 (CAML [Laion-2b])
    SOTA
    The Self-Optimal-Transport Feature TransformarXiv:2204.03065
  • Few-Shot Image ClassificationonCUB 200 5-way 5-shot
    Accuracy· uses extra data· 2022-04-06
    97.12
    best: 98.7 (CAML [Laion-2b])
    SOTA
    The Self-Optimal-Transport Feature TransformarXiv:2204.03065
  • Few-Shot Image ClassificationonCUB 200 5-way 1-shot
    Accuracy· 2022-04-06
    95.8
    SOTA
    The Self-Optimal-Transport Feature TransformarXiv:2204.03065
  • Few-Shot Image ClassificationonCIFAR-FS 5-way (1-shot)
    Accuracy· 2022-04-06
    89.94
    SOTA
    The Self-Optimal-Transport Feature TransformarXiv:2204.03065
  • Few-Shot Image ClassificationonMini-Imagenet 5-way (1-shot)
    Accuracy· 2022-04-06
    85.59
    best: 97.95 (SgVA-CLIP)
    SOTA
    The Self-Optimal-Transport Feature TransformarXiv:2204.03065
  • Few-Shot Image ClassificationonCIFAR-FS 5-way (5-shot)
    Accuracy· 2022-04-06
    92.83
    best: 93.5 (CAML [Laion-2b])
    SOTA
    The Self-Optimal-Transport Feature TransformarXiv:2204.03065
  • Image ClassificationonMini-Imagenet 5-way (5-shot)
    Accuracy· 2022-04-06
    91.34
    best: 98.72 (SgVA-CLIP)
    The Self-Optimal-Transport Feature TransformarXiv:2204.03065
  • Few-Shot Image ClassificationonMini-Imagenet 5-way (5-shot)
    Accuracy· 2022-04-06
    91.34
    best: 98.72 (SgVA-CLIP)
    The Self-Optimal-Transport Feature TransformarXiv:2204.03065