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Models/SSFormers

SSFormers

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· 2021-09-27
74.5
best: 89.94 (PT+MAP+SF+SOT (transductive))
Sparse Spatial Transformers for Few-Shot Learning arXiv:2109.12932
Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2021-09-27
82.75
best: 98.72 (SgVA-CLIP)
Sparse Spatial Transformers for Few-Shot Learning arXiv:2109.12932
Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2021-09-27
67.25
best: 97.95 (SgVA-CLIP)
Sparse Spatial Transformers for Few-Shot Learning arXiv:2109.12932
Image ClassificationonFC100 5-way (5-shot)
Accuracy· 2021-09-27
58.92
best: 70.6 (BAVARDAGE)
Sparse Spatial Transformers for Few-Shot Learning arXiv:2109.12932
Image ClassificationonFC100 5-way (1-shot)
Accuracy· 2021-09-27
43.72
best: 57.27 (BAVARDAGE)
Sparse Spatial Transformers for Few-Shot Learning arXiv:2109.12932
Image ClassificationonTiered ImageNet 5-way (1-shot)
Accuracy· 2021-09-27
72.52
best: 96.8 (CAML [Laion-2b])
Sparse Spatial Transformers for Few-Shot Learning arXiv:2109.12932
Image ClassificationonTiered ImageNet 5-way (5-shot)
Accuracy· 2021-09-27
86.61
best: 98.8 (CAML [Laion-2b])
Sparse Spatial Transformers for Few-Shot Learning arXiv:2109.12932
Image ClassificationonCIFAR-FS 5-way (5-shot)
Accuracy· 2021-09-27
86.61
best: 93.5 (CAML [Laion-2b])
Sparse Spatial Transformers for Few-Shot Learning arXiv:2109.12932
Few-Shot Image ClassificationonCIFAR-FS 5-way (1-shot)
Accuracy· 2021-09-27
74.5
best: 89.94 (PT+MAP+SF+SOT (transductive))
Sparse Spatial Transformers for Few-Shot Learning arXiv:2109.12932
Few-Shot Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2021-09-27
82.75
best: 98.72 (SgVA-CLIP)
Sparse Spatial Transformers for Few-Shot Learning arXiv:2109.12932
Few-Shot Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2021-09-27
67.25
best: 97.95 (SgVA-CLIP)
Sparse Spatial Transformers for Few-Shot Learning arXiv:2109.12932
Few-Shot Image ClassificationonFC100 5-way (5-shot)
Accuracy· 2021-09-27
58.92
best: 70.6 (BAVARDAGE)
Sparse Spatial Transformers for Few-Shot Learning arXiv:2109.12932
Few-Shot Image ClassificationonFC100 5-way (1-shot)
Accuracy· 2021-09-27
43.72
best: 57.27 (BAVARDAGE)
Sparse Spatial Transformers for Few-Shot Learning arXiv:2109.12932
Few-Shot Image ClassificationonTiered ImageNet 5-way (1-shot)
Accuracy· 2021-09-27
72.52
best: 96.8 (CAML [Laion-2b])
Sparse Spatial Transformers for Few-Shot Learning arXiv:2109.12932
Few-Shot Image ClassificationonTiered ImageNet 5-way (5-shot)
Accuracy· 2021-09-27
86.61
best: 98.8 (CAML [Laion-2b])
Sparse Spatial Transformers for Few-Shot Learning arXiv:2109.12932
Few-Shot Image ClassificationonCIFAR-FS 5-way (5-shot)
Accuracy· 2021-09-27
86.61
best: 93.5 (CAML [Laion-2b])
Sparse Spatial Transformers for Few-Shot Learning arXiv:2109.12932