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Models/VAMPIRE

VAMPIRE

Reported on 12 benchmarks across 2 tasks · 1 paper

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

Computer Vision12 results

Image ClassificationonOMNIGLOT - 1-Shot, 5-way
Accuracy· 2019-07-27
98.43
best: 99.97 (MC2+)
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference arXiv:1907.11864
Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2019-07-27
64.31
best: 98.72 (SgVA-CLIP)
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference arXiv:1907.11864
Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2019-07-27
51.54
best: 97.95 (SgVA-CLIP)
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference arXiv:1907.11864
Image ClassificationonOMNIGLOT - 1-Shot, 20-way
Accuracy· 2019-07-27
93.2
best: 99.63 (GCR)
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference arXiv:1907.11864
Image ClassificationonTiered ImageNet 5-way (1-shot)
Accuracy· 2019-07-27
69.87
best: 96.8 (CAML [Laion-2b])
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference arXiv:1907.11864
Image ClassificationonTiered ImageNet 5-way (5-shot)
Accuracy· 2019-07-27
82.7
best: 98.8 (CAML [Laion-2b])
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference arXiv:1907.11864
Few-Shot Image ClassificationonOMNIGLOT - 1-Shot, 5-way
Accuracy· 2019-07-27
98.43
best: 99.97 (MC2+)
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference arXiv:1907.11864
Few-Shot Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2019-07-27
64.31
best: 98.72 (SgVA-CLIP)
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference arXiv:1907.11864
Few-Shot Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2019-07-27
51.54
best: 97.95 (SgVA-CLIP)
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference arXiv:1907.11864
Few-Shot Image ClassificationonOMNIGLOT - 1-Shot, 20-way
Accuracy· 2019-07-27
93.2
best: 99.63 (GCR)
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference arXiv:1907.11864
Few-Shot Image ClassificationonTiered ImageNet 5-way (1-shot)
Accuracy· 2019-07-27
69.87
best: 96.8 (CAML [Laion-2b])
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference arXiv:1907.11864
Few-Shot Image ClassificationonTiered ImageNet 5-way (5-shot)
Accuracy· 2019-07-27
82.7
best: 98.8 (CAML [Laion-2b])
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference arXiv:1907.11864