Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/SPG (CLIP, ResNet-50)

SPG (CLIP, ResNet-50)

Reported on 8 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.

Methodology4 results

Domain AdaptationonPACS
Average Accuracy· 2024-04-30
92.8
best: 99 (SIMPLE+)
Soft Prompt Generation for Domain Generalization arXiv:2404.19286
Domain AdaptationonOffice-Home
Average Accuracy· 2024-04-30
73.8
best: 90.6 (MoA (OpenCLIP, ViT-B/16))
Soft Prompt Generation for Domain Generalization arXiv:2404.19286
Domain AdaptationonDomainNet
Average Accuracy· 2024-04-30
50.1
best: 67.4 (L2C (CLIP, ViT-L/14))
Soft Prompt Generation for Domain Generalization arXiv:2404.19286
Domain AdaptationonVLCS
Average Accuracy· 2024-04-30
84
best: 85.5 (CAR-FT (CLIP, ViT-B/16))
Soft Prompt Generation for Domain Generalization arXiv:2404.19286

Computer Vision4 results

Domain GeneralizationonPACS
Average Accuracy· 2024-04-30
92.8
best: 99 (SIMPLE+)
Soft Prompt Generation for Domain Generalization arXiv:2404.19286
Domain GeneralizationonOffice-Home
Average Accuracy· 2024-04-30
73.8
best: 90.6 (MoA (OpenCLIP, ViT-B/16))
Soft Prompt Generation for Domain Generalization arXiv:2404.19286
Domain GeneralizationonDomainNet
Average Accuracy· 2024-04-30
50.1
best: 67.4 (L2C (CLIP, ViT-L/14))
Soft Prompt Generation for Domain Generalization arXiv:2404.19286
Domain GeneralizationonVLCS
Average Accuracy· 2024-04-30
84
best: 85.5 (CAR-FT (CLIP, ViT-B/16))
Soft Prompt Generation for Domain Generalization arXiv:2404.19286