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Models/Transductive CNAPS + FETI

Transductive CNAPS + FETI

Reported on 16 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 Vision16 results

  • Image ClassificationonTiered ImageNet 10-way (1-shot)
    Accuracy· uses extra data· 2020-06-17
    65.1
    SOTA
    Enhancing Few-Shot Image Classification with Unlabelled ExamplesarXiv:2006.12245
  • Image ClassificationonMini-Imagenet 10-way (5-shot)
    Accuracy· uses extra data· 2020-06-17
    85.9
    SOTA
    Enhancing Few-Shot Image Classification with Unlabelled ExamplesarXiv:2006.12245
  • Image ClassificationonMini-Imagenet 5-way (5-shot)
    Accuracy· uses extra data· 2020-06-17
    91.5
    best: 98.72 (SgVA-CLIP)
    SOTA
    Enhancing Few-Shot Image Classification with Unlabelled ExamplesarXiv:2006.12245
  • Image ClassificationonMini-Imagenet 10-way (1-shot)
    Accuracy· uses extra data· 2020-06-17
    68.5
    SOTA
    Enhancing Few-Shot Image Classification with Unlabelled ExamplesarXiv:2006.12245
  • Image ClassificationonTiered ImageNet 10-way (5-shot)
    Accuracy· uses extra data· 2020-06-17
    80.6
    SOTA
    Enhancing Few-Shot Image Classification with Unlabelled ExamplesarXiv:2006.12245
  • Few-Shot Image ClassificationonTiered ImageNet 10-way (1-shot)
    Accuracy· uses extra data· 2020-06-17
    65.1
    SOTA
    Enhancing Few-Shot Image Classification with Unlabelled ExamplesarXiv:2006.12245
  • Few-Shot Image ClassificationonMini-Imagenet 10-way (5-shot)
    Accuracy· uses extra data· 2020-06-17
    85.9
    SOTA
    Enhancing Few-Shot Image Classification with Unlabelled ExamplesarXiv:2006.12245
  • Few-Shot Image ClassificationonMini-Imagenet 5-way (5-shot)
    Accuracy· uses extra data· 2020-06-17
    91.5
    best: 98.72 (SgVA-CLIP)
    SOTA
    Enhancing Few-Shot Image Classification with Unlabelled ExamplesarXiv:2006.12245
  • Few-Shot Image ClassificationonMini-Imagenet 10-way (1-shot)
    Accuracy· uses extra data· 2020-06-17
    68.5
    SOTA
    Enhancing Few-Shot Image Classification with Unlabelled ExamplesarXiv:2006.12245
  • Few-Shot Image ClassificationonTiered ImageNet 10-way (5-shot)
    Accuracy· uses extra data· 2020-06-17
    80.6
    SOTA
    Enhancing Few-Shot Image Classification with Unlabelled ExamplesarXiv:2006.12245
  • Image ClassificationonMini-Imagenet 5-way (1-shot)
    Accuracy· uses extra data· 2020-06-17
    79.9
    best: 97.95 (SgVA-CLIP)
    Enhancing Few-Shot Image Classification with Unlabelled ExamplesarXiv:2006.12245
  • Image ClassificationonTiered ImageNet 5-way (1-shot)
    Accuracy· uses extra data· 2020-06-17
    73.8
    best: 96.8 (CAML [Laion-2b])
    Enhancing Few-Shot Image Classification with Unlabelled ExamplesarXiv:2006.12245
  • Image ClassificationonTiered ImageNet 5-way (5-shot)
    Accuracy· uses extra data· 2020-06-17
    87.7
    best: 98.8 (CAML [Laion-2b])
    Enhancing Few-Shot Image Classification with Unlabelled ExamplesarXiv:2006.12245
  • Few-Shot Image ClassificationonMini-Imagenet 5-way (1-shot)
    Accuracy· uses extra data· 2020-06-17
    79.9
    best: 97.95 (SgVA-CLIP)
    Enhancing Few-Shot Image Classification with Unlabelled ExamplesarXiv:2006.12245
  • Few-Shot Image ClassificationonTiered ImageNet 5-way (1-shot)
    Accuracy· uses extra data· 2020-06-17
    73.8
    best: 96.8 (CAML [Laion-2b])
    Enhancing Few-Shot Image Classification with Unlabelled ExamplesarXiv:2006.12245
  • Few-Shot Image ClassificationonTiered ImageNet 5-way (5-shot)
    Accuracy· uses extra data· 2020-06-17
    87.7
    best: 98.8 (CAML [Laion-2b])
    Enhancing Few-Shot Image Classification with Unlabelled ExamplesarXiv:2006.12245