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Models/MC2+

MC2+

Reported on 8 benchmarks across 2 tasks · 1 paper · 2 SOTA

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

Computer Vision8 results

Image ClassificationonOMNIGLOT - 1-Shot, 5-way
Accuracy· 2019-02-09
99.97
SOTA
Meta-Curvature arXiv:1902.03356
Few-Shot Image ClassificationonOMNIGLOT - 1-Shot, 5-way
Accuracy· 2019-02-09
99.97
SOTA
Meta-Curvature arXiv:1902.03356
Image ClassificationonOMNIGLOT - 5-Shot, 5-way
Accuracy· 2019-02-09
99.89
best: 99.9 (MAML)
Meta-Curvature arXiv:1902.03356
Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2019-02-09
70.33
best: 98.72 (SgVA-CLIP)
Meta-Curvature arXiv:1902.03356
Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2019-02-09
55.73
best: 97.95 (SgVA-CLIP)
Meta-Curvature arXiv:1902.03356
Few-Shot Image ClassificationonOMNIGLOT - 5-Shot, 5-way
Accuracy· 2019-02-09
99.89
best: 99.9 (MAML)
Meta-Curvature arXiv:1902.03356
Few-Shot Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2019-02-09
70.33
best: 98.72 (SgVA-CLIP)
Meta-Curvature arXiv:1902.03356
Few-Shot Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2019-02-09
55.73
best: 97.95 (SgVA-CLIP)
Meta-Curvature arXiv:1902.03356