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Models/DAPNA

DAPNA

Reported on 12 benchmarks across 2 tasks · 1 paper · 4 SOTA

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

Computer Vision12 results

Image ClassificationonMini-ImageNet-CUB 5-way (5-shot)
Accuracy· 2020-02-06
68.33
best: 80.74 (TRIDENT)
SOTA
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis arXiv:2002.02050
Image ClassificationonMini-ImageNet-CUB 5-way (1-shot)
Accuracy· 2020-02-06
49.44
best: 84.61 (TRIDENT)
SOTA
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis arXiv:2002.02050
Few-Shot Image ClassificationonMini-ImageNet-CUB 5-way (5-shot)
Accuracy· 2020-02-06
68.33
best: 80.74 (TRIDENT)
SOTA
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis arXiv:2002.02050
Few-Shot Image ClassificationonMini-ImageNet-CUB 5-way (1-shot)
Accuracy· 2020-02-06
49.44
best: 84.61 (TRIDENT)
SOTA
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis arXiv:2002.02050
Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· uses extra data· 2020-02-06
84.07
best: 98.72 (SgVA-CLIP)
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis arXiv:2002.02050
Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2020-02-06
71.88
best: 97.95 (SgVA-CLIP)
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis arXiv:2002.02050
Image ClassificationonTiered ImageNet 5-way (1-shot)
Accuracy· 2020-02-06
69.14
best: 96.8 (CAML [Laion-2b])
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis arXiv:2002.02050
Image ClassificationonTiered ImageNet 5-way (5-shot)
Accuracy· 2020-02-06
85.82
best: 98.8 (CAML [Laion-2b])
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis arXiv:2002.02050
Few-Shot Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· uses extra data· 2020-02-06
84.07
best: 98.72 (SgVA-CLIP)
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis arXiv:2002.02050
Few-Shot Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2020-02-06
71.88
best: 97.95 (SgVA-CLIP)
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis arXiv:2002.02050
Few-Shot Image ClassificationonTiered ImageNet 5-way (1-shot)
Accuracy· 2020-02-06
69.14
best: 96.8 (CAML [Laion-2b])
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis arXiv:2002.02050
Few-Shot Image ClassificationonTiered ImageNet 5-way (5-shot)
Accuracy· 2020-02-06
85.82
best: 98.8 (CAML [Laion-2b])
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis arXiv:2002.02050