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Models/HCTransformers

HCTransformers

Reported on 20 benchmarks across 4 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 Vision16 results

Image ClassificationonTiered ImageNet 5-way (5-shot)
Accuracy· 2022-03-17
91.72
best: 98.8 (CAML [Laion-2b])
SOTA
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning arXiv:2203.09064
Few-Shot Image ClassificationonTiered ImageNet 5-way (5-shot)
Accuracy· 2022-03-17
91.72
best: 98.8 (CAML [Laion-2b])
SOTA
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning arXiv:2203.09064
Image ClassificationonCIFAR-FS 5-way (1-shot)
Accuracy· 2022-03-17
78.89
best: 89.94 (PT+MAP+SF+SOT (transductive))
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning arXiv:2203.09064
Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2022-03-17
89.19
best: 98.72 (SgVA-CLIP)
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning arXiv:2203.09064
Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2022-03-17
74.74
best: 97.95 (SgVA-CLIP)
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning arXiv:2203.09064
Image ClassificationonFC100 5-way (5-shot)
Accuracy· 2022-03-17
66.42
best: 70.6 (BAVARDAGE)
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning arXiv:2203.09064
Image ClassificationonFC100 5-way (1-shot)
Accuracy· 2022-03-17
48.27
best: 57.27 (BAVARDAGE)
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning arXiv:2203.09064
Image ClassificationonTiered ImageNet 5-way (1-shot)
Accuracy· 2022-03-17
79.67
best: 96.8 (CAML [Laion-2b])
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning arXiv:2203.09064
Image ClassificationonCIFAR-FS 5-way (5-shot)
Accuracy· 2022-03-17
90.5
best: 93.5 (CAML [Laion-2b])
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning arXiv:2203.09064
Few-Shot Image ClassificationonCIFAR-FS 5-way (1-shot)
Accuracy· 2022-03-17
78.89
best: 89.94 (PT+MAP+SF+SOT (transductive))
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning arXiv:2203.09064
Few-Shot Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2022-03-17
89.19
best: 98.72 (SgVA-CLIP)
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning arXiv:2203.09064
Few-Shot Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2022-03-17
74.74
best: 97.95 (SgVA-CLIP)
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning arXiv:2203.09064
Few-Shot Image ClassificationonFC100 5-way (5-shot)
Accuracy· 2022-03-17
66.42
best: 70.6 (BAVARDAGE)
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning arXiv:2203.09064
Few-Shot Image ClassificationonFC100 5-way (1-shot)
Accuracy· 2022-03-17
48.27
best: 57.27 (BAVARDAGE)
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning arXiv:2203.09064
Few-Shot Image ClassificationonTiered ImageNet 5-way (1-shot)
Accuracy· 2022-03-17
79.67
best: 96.8 (CAML [Laion-2b])
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning arXiv:2203.09064
Few-Shot Image ClassificationonCIFAR-FS 5-way (5-shot)
Accuracy· 2022-03-17
90.5
best: 93.5 (CAML [Laion-2b])
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning arXiv:2203.09064

Methodology4 results

Few-Shot LearningonMini-Imagenet 5-way (1-shot)
5 way 1~2 shot· 2022-03-17
74.74
SOTA
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning arXiv:2203.09064
Few-Shot LearningonMini-ImageNet - 1-Shot Learning
Acc· 2022-03-17
74.74
SOTA
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning arXiv:2203.09064
Meta-LearningonMini-Imagenet 5-way (1-shot)
5 way 1~2 shot· 2022-03-17
74.74
SOTA
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning arXiv:2203.09064
Meta-LearningonMini-ImageNet - 1-Shot Learning
Acc· 2022-03-17
74.74
SOTA
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning arXiv:2203.09064