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Models/MATANet

MATANet

Reported on 16 benchmarks across 2 tasks · 1 paper · 12 SOTA

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

Computer Vision16 results

Image ClassificationonStanford Dogs 5-way (1-shot)
Accuracy· 2020-11-30
55.63
best: 59.05 (MML(KL))
SOTA
Multi-scale Adaptive Task Attention Network for Few-Shot Learning arXiv:2011.14479
Image ClassificationonCUB-200-2011 5-way (5-shot)
Accuracy· 2020-11-30
83.92
SOTA
Multi-scale Adaptive Task Attention Network for Few-Shot Learning arXiv:2011.14479
Image ClassificationonStanford Dogs 5-way (5-shot)
Accuracy· 2020-11-30
70.29
best: 75.59 (MML(KL))
SOTA
Multi-scale Adaptive Task Attention Network for Few-Shot Learning arXiv:2011.14479
Image ClassificationonStanford Cars 5-way (5-shot)
Accuracy· 2020-11-30
91.89
SOTA
Multi-scale Adaptive Task Attention Network for Few-Shot Learning arXiv:2011.14479
Image ClassificationonStanford Cars 5-way (1-shot)
Accuracy· 2020-11-30
73.15
SOTA
Multi-scale Adaptive Task Attention Network for Few-Shot Learning arXiv:2011.14479
Image ClassificationonCUB-200-2011 5-way (1-shot)
Accuracy· 2020-11-30
67.33
SOTA
Multi-scale Adaptive Task Attention Network for Few-Shot Learning arXiv:2011.14479
Few-Shot Image ClassificationonStanford Dogs 5-way (1-shot)
Accuracy· 2020-11-30
55.63
best: 59.05 (MML(KL))
SOTA
Multi-scale Adaptive Task Attention Network for Few-Shot Learning arXiv:2011.14479
Few-Shot Image ClassificationonCUB-200-2011 5-way (5-shot)
Accuracy· 2020-11-30
83.92
SOTA
Multi-scale Adaptive Task Attention Network for Few-Shot Learning arXiv:2011.14479
Few-Shot Image ClassificationonStanford Dogs 5-way (5-shot)
Accuracy· 2020-11-30
70.29
best: 75.59 (MML(KL))
SOTA
Multi-scale Adaptive Task Attention Network for Few-Shot Learning arXiv:2011.14479
Few-Shot Image ClassificationonStanford Cars 5-way (5-shot)
Accuracy· 2020-11-30
91.89
SOTA
Multi-scale Adaptive Task Attention Network for Few-Shot Learning arXiv:2011.14479
Few-Shot Image ClassificationonStanford Cars 5-way (1-shot)
Accuracy· 2020-11-30
73.15
SOTA
Multi-scale Adaptive Task Attention Network for Few-Shot Learning arXiv:2011.14479
Few-Shot Image ClassificationonCUB-200-2011 5-way (1-shot)
Accuracy· 2020-11-30
67.33
SOTA
Multi-scale Adaptive Task Attention Network for Few-Shot Learning arXiv:2011.14479
Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2020-11-30
72.67
best: 98.72 (SgVA-CLIP)
Multi-scale Adaptive Task Attention Network for Few-Shot Learning arXiv:2011.14479
Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2020-11-30
53.63
best: 97.95 (SgVA-CLIP)
Multi-scale Adaptive Task Attention Network for Few-Shot Learning arXiv:2011.14479
Few-Shot Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2020-11-30
72.67
best: 98.72 (SgVA-CLIP)
Multi-scale Adaptive Task Attention Network for Few-Shot Learning arXiv:2011.14479
Few-Shot Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2020-11-30
53.63
best: 97.95 (SgVA-CLIP)
Multi-scale Adaptive Task Attention Network for Few-Shot Learning arXiv:2011.14479