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Models/LST+MAP

LST+MAP

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

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

Computer Vision8 results

Image ClassificationonCIFAR-FS 5-way (1-shot)
Accuracy· 2021-02-09
87.79
best: 89.94 (PT+MAP+SF+SOT (transductive))
SOTA
Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network arXiv:2102.05176
Few-Shot Image ClassificationonCIFAR-FS 5-way (1-shot)
Accuracy· 2021-02-09
87.79
best: 89.94 (PT+MAP+SF+SOT (transductive))
SOTA
Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network arXiv:2102.05176
Image ClassificationonCUB 200 5-way 5-shot
Accuracy· uses extra data· 2021-02-09
94.09
best: 98.7 (CAML [Laion-2b])
Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network arXiv:2102.05176
Image ClassificationonCUB 200 5-way 1-shot
Accuracy· 2021-02-09
91.68
best: 95.8 (PT+MAP+SF+SOT (transductive))
Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network arXiv:2102.05176
Image ClassificationonCIFAR-FS 5-way (5-shot)
Accuracy· 2021-02-09
90.73
best: 93.5 (CAML [Laion-2b])
Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network arXiv:2102.05176
Few-Shot Image ClassificationonCUB 200 5-way 5-shot
Accuracy· uses extra data· 2021-02-09
94.09
best: 98.7 (CAML [Laion-2b])
Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network arXiv:2102.05176
Few-Shot Image ClassificationonCUB 200 5-way 1-shot
Accuracy· 2021-02-09
91.68
best: 95.8 (PT+MAP+SF+SOT (transductive))
Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network arXiv:2102.05176
Few-Shot Image ClassificationonCIFAR-FS 5-way (5-shot)
Accuracy· 2021-02-09
90.73
best: 93.5 (CAML [Laion-2b])
Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network arXiv:2102.05176