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Models/EffNet-L2 (SAM)

EffNet-L2 (SAM)

Reported on 7 benchmarks across 2 tasks · 1 paper · 7 SOTA

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

Computer Vision7 results

Image ClassificationonCIFAR-100
Percentage correct· uses extra data· 2020-10-03
96.08
SOTA
Sharpness-Aware Minimization for Efficiently Improving Generalization arXiv:2010.01412
Image ClassificationonOxford-IIIT Pets
Accuracy· 2020-10-03
97.1
SOTA
Sharpness-Aware Minimization for Efficiently Improving Generalization arXiv:2010.01412
Image ClassificationonFGVC Aircraft
Top-1 Error Rate· uses extra data· 2020-10-03
4.82
SOTA
Sharpness-Aware Minimization for Efficiently Improving Generalization arXiv:2010.01412
Image ClassificationonFood-101
Accuracy· uses extra data· 2020-10-03
96.18
best: 98.6 (CAP)
SOTA
Sharpness-Aware Minimization for Efficiently Improving Generalization arXiv:2010.01412
Fine-Grained Image ClassificationonOxford-IIIT Pets
Accuracy· 2020-10-03
97.1
SOTA
Sharpness-Aware Minimization for Efficiently Improving Generalization arXiv:2010.01412
Fine-Grained Image ClassificationonFGVC Aircraft
Top-1 Error Rate· uses extra data· 2020-10-03
4.82
SOTA
Sharpness-Aware Minimization for Efficiently Improving Generalization arXiv:2010.01412
Fine-Grained Image ClassificationonFood-101
Accuracy· uses extra data· 2020-10-03
96.18
best: 98.6 (CAP)
SOTA
Sharpness-Aware Minimization for Efficiently Improving Generalization arXiv:2010.01412