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Models/TPN (Higher Shot)

TPN (Higher Shot)

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

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

Computer Vision8 results

Image ClassificationonTiered ImageNet 10-way (1-shot)
Accuracy· 2018-05-25
44.8
best: 65.1 (Transductive CNAPS + FETI)
SOTA
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning arXiv:1805.10002
Image ClassificationonMini-Imagenet 10-way (5-shot)
Accuracy· 2018-05-25
52.8
best: 85.9 (Transductive CNAPS + FETI)
SOTA
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning arXiv:1805.10002
Image ClassificationonMini-Imagenet 10-way (1-shot)
Accuracy· 2018-05-25
38.4
best: 68.5 (Transductive CNAPS + FETI)
SOTA
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning arXiv:1805.10002
Image ClassificationonTiered ImageNet 10-way (5-shot)
Accuracy· 2018-05-25
59.4
best: 80.6 (Transductive CNAPS + FETI)
SOTA
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning arXiv:1805.10002
Few-Shot Image ClassificationonTiered ImageNet 10-way (1-shot)
Accuracy· 2018-05-25
44.8
best: 65.1 (Transductive CNAPS + FETI)
SOTA
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning arXiv:1805.10002
Few-Shot Image ClassificationonMini-Imagenet 10-way (5-shot)
Accuracy· 2018-05-25
52.8
best: 85.9 (Transductive CNAPS + FETI)
SOTA
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning arXiv:1805.10002
Few-Shot Image ClassificationonMini-Imagenet 10-way (1-shot)
Accuracy· 2018-05-25
38.4
best: 68.5 (Transductive CNAPS + FETI)
SOTA
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning arXiv:1805.10002
Few-Shot Image ClassificationonTiered ImageNet 10-way (5-shot)
Accuracy· 2018-05-25
59.4
best: 80.6 (Transductive CNAPS + FETI)
SOTA
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning arXiv:1805.10002