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Models/DN4-DA (k=1)

DN4-DA (k=1)

Reported on 12 benchmarks across 2 tasks · 1 paper · 8 SOTA

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

Computer Vision12 results

Image ClassificationonStanford Dogs 5-way (1-shot)
Accuracy· 2019-03-28
45.73
best: 59.05 (MML(KL))
SOTA
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning arXiv:1903.12290
Image ClassificationonStanford Dogs 5-way (5-shot)
Accuracy· 2019-03-28
66.33
best: 75.59 (MML(KL))
SOTA
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning arXiv:1903.12290
Image ClassificationonStanford Cars 5-way (5-shot)
Accuracy· 2019-03-28
89.6
best: 91.89 (MATANet)
SOTA
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning arXiv:1903.12290
Image ClassificationonStanford Cars 5-way (1-shot)
Accuracy· 2019-03-28
61.51
best: 73.15 (MATANet)
SOTA
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning arXiv:1903.12290
Few-Shot Image ClassificationonStanford Dogs 5-way (1-shot)
Accuracy· 2019-03-28
45.73
best: 59.05 (MML(KL))
SOTA
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning arXiv:1903.12290
Few-Shot Image ClassificationonStanford Dogs 5-way (5-shot)
Accuracy· 2019-03-28
66.33
best: 75.59 (MML(KL))
SOTA
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning arXiv:1903.12290
Few-Shot Image ClassificationonStanford Cars 5-way (5-shot)
Accuracy· 2019-03-28
89.6
best: 91.89 (MATANet)
SOTA
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning arXiv:1903.12290
Few-Shot Image ClassificationonStanford Cars 5-way (1-shot)
Accuracy· 2019-03-28
61.51
best: 73.15 (MATANet)
SOTA
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning arXiv:1903.12290
Image ClassificationonCUB 200 5-way 5-shot
Accuracy· 2019-03-28
81.9
best: 98.7 (CAML [Laion-2b])
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning arXiv:1903.12290
Image ClassificationonCUB 200 5-way 1-shot
Accuracy· 2019-03-28
53.15
best: 95.8 (PT+MAP+SF+SOT (transductive))
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning arXiv:1903.12290
Few-Shot Image ClassificationonCUB 200 5-way 5-shot
Accuracy· 2019-03-28
81.9
best: 98.7 (CAML [Laion-2b])
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning arXiv:1903.12290
Few-Shot Image ClassificationonCUB 200 5-way 1-shot
Accuracy· 2019-03-28
53.15
best: 95.8 (PT+MAP+SF+SOT (transductive))
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning arXiv:1903.12290