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Models/DKT + BNCosSim

DKT + BNCosSim

Reported on 14 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 Vision14 results

Image ClassificationonOMNIGLOT-EMNIST 5-way (1-shot)
Accuracy· 2019-10-11
75.4
best: 80.65 (HyperShot)
SOTA
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels arXiv:1910.05199
Image ClassificationonOMNIGLOT-EMNIST 5-way (5-shot)
Accuracy· 2019-10-11
90.3
best: 90.81 (HyperShot)
SOTA
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels arXiv:1910.05199
Few-Shot Image ClassificationonOMNIGLOT-EMNIST 5-way (1-shot)
Accuracy· 2019-10-11
75.4
best: 80.65 (HyperShot)
SOTA
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels arXiv:1910.05199
Few-Shot Image ClassificationonOMNIGLOT-EMNIST 5-way (5-shot)
Accuracy· 2019-10-11
90.3
best: 90.81 (HyperShot)
SOTA
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels arXiv:1910.05199
Image ClassificationonCUB 200 5-way 5-shot
Accuracy· 2019-10-11
85.64
best: 98.7 (CAML [Laion-2b])
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels arXiv:1910.05199
Image ClassificationonMini-ImageNet-CUB 5-way (5-shot)
Accuracy· 2019-10-11
56.4
best: 80.74 (TRIDENT)
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels arXiv:1910.05199
Image ClassificationonCUB 200 5-way 1-shot
Accuracy· 2019-10-11
72.27
best: 95.8 (PT+MAP+SF+SOT (transductive))
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels arXiv:1910.05199
Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2019-10-11
64
best: 98.72 (SgVA-CLIP)
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels arXiv:1910.05199
Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2019-10-11
62.96
best: 97.95 (SgVA-CLIP)
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels arXiv:1910.05199
Few-Shot Image ClassificationonCUB 200 5-way 5-shot
Accuracy· 2019-10-11
85.64
best: 98.7 (CAML [Laion-2b])
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels arXiv:1910.05199
Few-Shot Image ClassificationonMini-ImageNet-CUB 5-way (5-shot)
Accuracy· 2019-10-11
56.4
best: 80.74 (TRIDENT)
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels arXiv:1910.05199
Few-Shot Image ClassificationonCUB 200 5-way 1-shot
Accuracy· 2019-10-11
72.27
best: 95.8 (PT+MAP+SF+SOT (transductive))
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels arXiv:1910.05199
Few-Shot Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2019-10-11
64
best: 98.72 (SgVA-CLIP)
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels arXiv:1910.05199
Few-Shot Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2019-10-11
62.96
best: 97.95 (SgVA-CLIP)
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels arXiv:1910.05199