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Models/PT+MAP+SF+BPA (transductive)

PT+MAP+SF+BPA (transductive)

Reported on 12 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 Vision12 results

Image ClassificationonCUB 200 5-way 5-shot
Accuracy· 2024-06-25
97.12
best: 98.7 (CAML [Laion-2b])
The Balanced-Pairwise-Affinities Feature Transform arXiv:2407.01467
Image ClassificationonCUB 200 5-way 1-shot
Accuracy· 2024-06-25
95.8
The Balanced-Pairwise-Affinities Feature Transform arXiv:2407.01467
Image ClassificationonCIFAR-FS 5-way (1-shot)
Accuracy· 2024-06-25
89.94
The Balanced-Pairwise-Affinities Feature Transform arXiv:2407.01467
Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2024-06-25
91.34
best: 98.72 (SgVA-CLIP)
The Balanced-Pairwise-Affinities Feature Transform arXiv:2407.01467
Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2024-06-25
85.59
best: 97.95 (SgVA-CLIP)
The Balanced-Pairwise-Affinities Feature Transform arXiv:2407.01467
Image ClassificationonCIFAR-FS 5-way (5-shot)
Accuracy· 2024-06-25
92.83
best: 93.5 (CAML [Laion-2b])
The Balanced-Pairwise-Affinities Feature Transform arXiv:2407.01467
Few-Shot Image ClassificationonCUB 200 5-way 5-shot
Accuracy· 2024-06-25
97.12
best: 98.7 (CAML [Laion-2b])
The Balanced-Pairwise-Affinities Feature Transform arXiv:2407.01467
Few-Shot Image ClassificationonCUB 200 5-way 1-shot
Accuracy· 2024-06-25
95.8
The Balanced-Pairwise-Affinities Feature Transform arXiv:2407.01467
Few-Shot Image ClassificationonCIFAR-FS 5-way (1-shot)
Accuracy· 2024-06-25
89.94
The Balanced-Pairwise-Affinities Feature Transform arXiv:2407.01467
Few-Shot Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2024-06-25
91.34
best: 98.72 (SgVA-CLIP)
The Balanced-Pairwise-Affinities Feature Transform arXiv:2407.01467
Few-Shot Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2024-06-25
85.59
best: 97.95 (SgVA-CLIP)
The Balanced-Pairwise-Affinities Feature Transform arXiv:2407.01467
Few-Shot Image ClassificationonCIFAR-FS 5-way (5-shot)
Accuracy· 2024-06-25
92.83
best: 93.5 (CAML [Laion-2b])
The Balanced-Pairwise-Affinities Feature Transform arXiv:2407.01467