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Models/SPG (CLIP, ViT-B/16)

SPG (CLIP, ViT-B/16)

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· 2024-04-30
97
best: 99 (SIMPLE+)
Soft Prompt Generation for Domain Generalization arXiv:2404.19286
Domain AdaptationonOffice-Home
Average Accuracy· 2024-04-30
83.6
best: 90.6 (MoA (OpenCLIP, ViT-B/16))
Soft Prompt Generation for Domain Generalization arXiv:2404.19286
Domain AdaptationonDomainNet
Average Accuracy· 2024-04-30
60.1
best: 67.4 (L2C (CLIP, ViT-L/14))
Soft Prompt Generation for Domain Generalization arXiv:2404.19286
Domain AdaptationonVLCS
Average Accuracy· 2024-04-30
82.4
best: 85.5 (CAR-FT (CLIP, ViT-B/16))
Soft Prompt Generation for Domain Generalization arXiv:2404.19286
Domain AdaptationonTerraIncognita
Average Accuracy· 2024-04-30
50.2
best: 69.6 (UniDG + CORAL + ConvNeXt-B)
Soft Prompt Generation for Domain Generalization arXiv:2404.19286

Computer Vision5 results

Domain GeneralizationonPACS
Average Accuracy· 2024-04-30
97
best: 99 (SIMPLE+)
Soft Prompt Generation for Domain Generalization arXiv:2404.19286
Domain GeneralizationonOffice-Home
Average Accuracy· 2024-04-30
83.6
best: 90.6 (MoA (OpenCLIP, ViT-B/16))
Soft Prompt Generation for Domain Generalization arXiv:2404.19286
Domain GeneralizationonDomainNet
Average Accuracy· 2024-04-30
60.1
best: 67.4 (L2C (CLIP, ViT-L/14))
Soft Prompt Generation for Domain Generalization arXiv:2404.19286
Domain GeneralizationonVLCS
Average Accuracy· 2024-04-30
82.4
best: 85.5 (CAR-FT (CLIP, ViT-B/16))
Soft Prompt Generation for Domain Generalization arXiv:2404.19286
Domain GeneralizationonTerraIncognita
Average Accuracy· 2024-04-30
50.2
best: 69.6 (UniDG + CORAL + ConvNeXt-B)
Soft Prompt Generation for Domain Generalization arXiv:2404.19286