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Models/Ensemble of Averages (RegNetY-16GF)

Ensemble of Averages (RegNetY-16GF)

Reported on 10 benchmarks across 2 tasks · 1 paper · 10 SOTA

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

Methodology5 results

Domain AdaptationonPACS
Average Accuracy· 2021-10-21
95.8
best: 99 (SIMPLE+)
SOTA
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization arXiv:2110.10832
Domain AdaptationonOffice-Home
Average Accuracy· 2021-10-21
83.9
best: 90.6 (MoA (OpenCLIP, ViT-B/16))
SOTA
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization arXiv:2110.10832
Domain AdaptationonDomainNet
Average Accuracy· uses extra data· 2021-10-21
60.9
best: 67.4 (L2C (CLIP, ViT-L/14))
SOTA
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization arXiv:2110.10832
Domain AdaptationonVLCS
Average Accuracy· 2021-10-21
81.1
best: 85.5 (CAR-FT (CLIP, ViT-B/16))
SOTA
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization arXiv:2110.10832
Domain AdaptationonTerraIncognita
Average Accuracy· 2021-10-21
61.1
best: 69.6 (UniDG + CORAL + ConvNeXt-B)
SOTA
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization arXiv:2110.10832

Computer Vision5 results

Domain GeneralizationonPACS
Average Accuracy· 2021-10-21
95.8
best: 99 (SIMPLE+)
SOTA
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization arXiv:2110.10832
Domain GeneralizationonOffice-Home
Average Accuracy· 2021-10-21
83.9
best: 90.6 (MoA (OpenCLIP, ViT-B/16))
SOTA
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization arXiv:2110.10832
Domain GeneralizationonDomainNet
Average Accuracy· uses extra data· 2021-10-21
60.9
best: 67.4 (L2C (CLIP, ViT-L/14))
SOTA
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization arXiv:2110.10832
Domain GeneralizationonVLCS
Average Accuracy· 2021-10-21
81.1
best: 85.5 (CAR-FT (CLIP, ViT-B/16))
SOTA
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization arXiv:2110.10832
Domain GeneralizationonTerraIncognita
Average Accuracy· 2021-10-21
61.1
best: 69.6 (UniDG + CORAL + ConvNeXt-B)
SOTA
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization arXiv:2110.10832