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Models/SKD

SKD

Reported on 16 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 Vision16 results

Image ClassificationonCIFAR-FS 5-way (1-shot)
Accuracy· 2020-06-17
76.9
best: 89.94 (PT+MAP+SF+SOT (transductive))
Self-supervised Knowledge Distillation for Few-shot Learning arXiv:2006.09785
Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2020-06-17
83.54
best: 98.72 (SgVA-CLIP)
Self-supervised Knowledge Distillation for Few-shot Learning arXiv:2006.09785
Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2020-06-17
67.04
best: 97.95 (SgVA-CLIP)
Self-supervised Knowledge Distillation for Few-shot Learning arXiv:2006.09785
Image ClassificationonFC100 5-way (5-shot)
Accuracy· 2020-06-17
63.1
best: 70.6 (BAVARDAGE)
Self-supervised Knowledge Distillation for Few-shot Learning arXiv:2006.09785
Image ClassificationonFC100 5-way (1-shot)
Accuracy· 2020-06-17
46.5
best: 57.27 (BAVARDAGE)
Self-supervised Knowledge Distillation for Few-shot Learning arXiv:2006.09785
Image ClassificationonTiered ImageNet 5-way (1-shot)
Accuracy· 2020-06-17
72.03
best: 96.8 (CAML [Laion-2b])
Self-supervised Knowledge Distillation for Few-shot Learning arXiv:2006.09785
Image ClassificationonTiered ImageNet 5-way (5-shot)
Accuracy· 2020-06-17
86.66
best: 98.8 (CAML [Laion-2b])
Self-supervised Knowledge Distillation for Few-shot Learning arXiv:2006.09785
Image ClassificationonCIFAR-FS 5-way (5-shot)
Accuracy· 2020-06-17
88.9
best: 93.5 (CAML [Laion-2b])
Self-supervised Knowledge Distillation for Few-shot Learning arXiv:2006.09785
Few-Shot Image ClassificationonCIFAR-FS 5-way (1-shot)
Accuracy· 2020-06-17
76.9
best: 89.94 (PT+MAP+SF+SOT (transductive))
Self-supervised Knowledge Distillation for Few-shot Learning arXiv:2006.09785
Few-Shot Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2020-06-17
83.54
best: 98.72 (SgVA-CLIP)
Self-supervised Knowledge Distillation for Few-shot Learning arXiv:2006.09785
Few-Shot Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2020-06-17
67.04
best: 97.95 (SgVA-CLIP)
Self-supervised Knowledge Distillation for Few-shot Learning arXiv:2006.09785
Few-Shot Image ClassificationonFC100 5-way (5-shot)
Accuracy· 2020-06-17
63.1
best: 70.6 (BAVARDAGE)
Self-supervised Knowledge Distillation for Few-shot Learning arXiv:2006.09785
Few-Shot Image ClassificationonFC100 5-way (1-shot)
Accuracy· 2020-06-17
46.5
best: 57.27 (BAVARDAGE)
Self-supervised Knowledge Distillation for Few-shot Learning arXiv:2006.09785
Few-Shot Image ClassificationonTiered ImageNet 5-way (1-shot)
Accuracy· 2020-06-17
72.03
best: 96.8 (CAML [Laion-2b])
Self-supervised Knowledge Distillation for Few-shot Learning arXiv:2006.09785
Few-Shot Image ClassificationonTiered ImageNet 5-way (5-shot)
Accuracy· 2020-06-17
86.66
best: 98.8 (CAML [Laion-2b])
Self-supervised Knowledge Distillation for Few-shot Learning arXiv:2006.09785
Few-Shot Image ClassificationonCIFAR-FS 5-way (5-shot)
Accuracy· 2020-06-17
88.9
best: 93.5 (CAML [Laion-2b])
Self-supervised Knowledge Distillation for Few-shot Learning arXiv:2006.09785