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Models/AdaClust (ResNet-50, SWAD)

AdaClust (ResNet-50, SWAD)

Reported on 10 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.

Methodology5 results

Domain AdaptationonPACS
Average Accuracy· 2021-12-09
89.2
best: 99 (SIMPLE+)
Adaptive Methods for Aggregated Domain Generalization arXiv:2112.04766
Domain AdaptationonOffice-Home
Average Accuracy· 2021-12-09
69.4
best: 90.6 (MoA (OpenCLIP, ViT-B/16))
Adaptive Methods for Aggregated Domain Generalization arXiv:2112.04766
Domain AdaptationonDomainNet
Average Accuracy· 2021-12-09
46.7
best: 67.4 (L2C (CLIP, ViT-L/14))
Adaptive Methods for Aggregated Domain Generalization arXiv:2112.04766
Domain AdaptationonVLCS
Average Accuracy· 2021-12-09
79.6
best: 85.5 (CAR-FT (CLIP, ViT-B/16))
Adaptive Methods for Aggregated Domain Generalization arXiv:2112.04766
Domain AdaptationonTerraIncognita
Average Accuracy· 2021-12-09
50.6
best: 69.6 (UniDG + CORAL + ConvNeXt-B)
Adaptive Methods for Aggregated Domain Generalization arXiv:2112.04766

Computer Vision5 results

Domain GeneralizationonPACS
Average Accuracy· 2021-12-09
89.2
best: 99 (SIMPLE+)
Adaptive Methods for Aggregated Domain Generalization arXiv:2112.04766
Domain GeneralizationonOffice-Home
Average Accuracy· 2021-12-09
69.4
best: 90.6 (MoA (OpenCLIP, ViT-B/16))
Adaptive Methods for Aggregated Domain Generalization arXiv:2112.04766
Domain GeneralizationonDomainNet
Average Accuracy· 2021-12-09
46.7
best: 67.4 (L2C (CLIP, ViT-L/14))
Adaptive Methods for Aggregated Domain Generalization arXiv:2112.04766
Domain GeneralizationonVLCS
Average Accuracy· 2021-12-09
79.6
best: 85.5 (CAR-FT (CLIP, ViT-B/16))
Adaptive Methods for Aggregated Domain Generalization arXiv:2112.04766
Domain GeneralizationonTerraIncognita
Average Accuracy· 2021-12-09
50.6
best: 69.6 (UniDG + CORAL + ConvNeXt-B)
Adaptive Methods for Aggregated Domain Generalization arXiv:2112.04766