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Models/LaplacianShot

LaplacianShot

Reported on 20 benchmarks across 2 tasks · 1 paper · 6 SOTA

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

Computer Vision20 results

Image ClassificationoniNaturalist (227-way multi-shot)
Accuracy· 2020-06-28
74.97
SOTA
Laplacian Regularized Few-Shot Learning arXiv:2006.15486
Image ClassificationonminiImagenet → CUB (5-way 1-shot)
Accuracy· 2020-06-28
55.46
SOTA
Laplacian Regularized Few-Shot Learning arXiv:2006.15486
Image ClassificationonminiImagenet → CUB (5-way 5-shot)
Accuracy· 2020-06-28
66.33
SOTA
Laplacian Regularized Few-Shot Learning arXiv:2006.15486
Few-Shot Image ClassificationoniNaturalist (227-way multi-shot)
Accuracy· 2020-06-28
74.97
SOTA
Laplacian Regularized Few-Shot Learning arXiv:2006.15486
Few-Shot Image ClassificationonminiImagenet → CUB (5-way 1-shot)
Accuracy· 2020-06-28
55.46
SOTA
Laplacian Regularized Few-Shot Learning arXiv:2006.15486
Few-Shot Image ClassificationonminiImagenet → CUB (5-way 5-shot)
Accuracy· 2020-06-28
66.33
SOTA
Laplacian Regularized Few-Shot Learning arXiv:2006.15486
Image ClassificationonCUB 200 5-way 5-shot
Accuracy· 2020-06-28
88.68
best: 98.7 (CAML [Laion-2b])
Laplacian Regularized Few-Shot Learning arXiv:2006.15486
Image ClassificationonMini-ImageNet-CUB 5-way (5-shot)
Accuracy· 2020-06-28
66.33
best: 80.74 (TRIDENT)
Laplacian Regularized Few-Shot Learning arXiv:2006.15486
Image ClassificationonCUB 200 5-way 1-shot
Accuracy· 2020-06-28
80.96
best: 95.8 (PT+MAP+SF+SOT (transductive))
Laplacian Regularized Few-Shot Learning arXiv:2006.15486
Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2020-06-28
84.72
best: 98.72 (SgVA-CLIP)
Laplacian Regularized Few-Shot Learning arXiv:2006.15486
Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2020-06-28
75.57
best: 97.95 (SgVA-CLIP)
Laplacian Regularized Few-Shot Learning arXiv:2006.15486
Image ClassificationonTiered ImageNet 5-way (1-shot)
Accuracy· 2020-06-28
80.3
best: 96.8 (CAML [Laion-2b])
Laplacian Regularized Few-Shot Learning arXiv:2006.15486
Image ClassificationonTiered ImageNet 5-way (5-shot)
Accuracy· 2020-06-28
87.93
best: 98.8 (CAML [Laion-2b])
Laplacian Regularized Few-Shot Learning arXiv:2006.15486
Few-Shot Image ClassificationonCUB 200 5-way 5-shot
Accuracy· 2020-06-28
88.68
best: 98.7 (CAML [Laion-2b])
Laplacian Regularized Few-Shot Learning arXiv:2006.15486
Few-Shot Image ClassificationonMini-ImageNet-CUB 5-way (5-shot)
Accuracy· 2020-06-28
66.33
best: 80.74 (TRIDENT)
Laplacian Regularized Few-Shot Learning arXiv:2006.15486
Few-Shot Image ClassificationonCUB 200 5-way 1-shot
Accuracy· 2020-06-28
80.96
best: 95.8 (PT+MAP+SF+SOT (transductive))
Laplacian Regularized Few-Shot Learning arXiv:2006.15486
Few-Shot Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2020-06-28
84.72
best: 98.72 (SgVA-CLIP)
Laplacian Regularized Few-Shot Learning arXiv:2006.15486
Few-Shot Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2020-06-28
75.57
best: 97.95 (SgVA-CLIP)
Laplacian Regularized Few-Shot Learning arXiv:2006.15486
Few-Shot Image ClassificationonTiered ImageNet 5-way (1-shot)
Accuracy· 2020-06-28
80.3
best: 96.8 (CAML [Laion-2b])
Laplacian Regularized Few-Shot Learning arXiv:2006.15486
Few-Shot Image ClassificationonTiered ImageNet 5-way (5-shot)
Accuracy· 2020-06-28
87.93
best: 98.8 (CAML [Laion-2b])
Laplacian Regularized Few-Shot Learning arXiv:2006.15486