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Models/UniDG + CORAL + ConvNeXt-B

UniDG + CORAL + ConvNeXt-B

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

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

Methodology5 results

Domain AdaptationonTerraIncognita
Average Accuracy· 2023-10-16
69.6
SOTA
Towards Unified and Effective Domain Generalization arXiv:2310.10008
Domain AdaptationonPACS
Average Accuracy· 2023-10-16
95.6
best: 99 (SIMPLE+)
Towards Unified and Effective Domain Generalization arXiv:2310.10008
Domain AdaptationonOffice-Home
Average Accuracy· 2023-10-16
88.9
best: 90.6 (MoA (OpenCLIP, ViT-B/16))
Towards Unified and Effective Domain Generalization arXiv:2310.10008
Domain AdaptationonDomainNet
Average Accuracy· 2023-10-16
59.5
best: 67.4 (L2C (CLIP, ViT-L/14))
Towards Unified and Effective Domain Generalization arXiv:2310.10008
Domain AdaptationonVLCS
Average Accuracy· 2023-10-16
84.5
best: 85.5 (CAR-FT (CLIP, ViT-B/16))
Towards Unified and Effective Domain Generalization arXiv:2310.10008

Computer Vision5 results

Domain GeneralizationonTerraIncognita
Average Accuracy· 2023-10-16
69.6
SOTA
Towards Unified and Effective Domain Generalization arXiv:2310.10008
Domain GeneralizationonPACS
Average Accuracy· 2023-10-16
95.6
best: 99 (SIMPLE+)
Towards Unified and Effective Domain Generalization arXiv:2310.10008
Domain GeneralizationonOffice-Home
Average Accuracy· 2023-10-16
88.9
best: 90.6 (MoA (OpenCLIP, ViT-B/16))
Towards Unified and Effective Domain Generalization arXiv:2310.10008
Domain GeneralizationonDomainNet
Average Accuracy· 2023-10-16
59.5
best: 67.4 (L2C (CLIP, ViT-L/14))
Towards Unified and Effective Domain Generalization arXiv:2310.10008
Domain GeneralizationonVLCS
Average Accuracy· 2023-10-16
84.5
best: 85.5 (CAR-FT (CLIP, ViT-B/16))
Towards Unified and Effective Domain Generalization arXiv:2310.10008