Context-Aware Robust Fine-Tuning

Benchmark Model Rank Results
domain-generalization-on-domainnetCAR-FT (CLIP, ViT-B/16)Average Accuracy: 62.5
domain-generalization-on-imagenet-aCAR-FT (CLIP, ViT-L/14@336px)Top-1 accuracy %: 81.5
domain-generalization-on-imagenet-rCAR-FT (CLIP, ViT-L/14@336px)Top-1 Error Rate: 10.3
domain-generalization-on-imagenet-sketchCAR-FT (CLIP, ViT-L/14@336px)Top-1 accuracy: 65.5
domain-generalization-on-office-homeCAR-FT (CLIP, ViT-B/16)Average Accuracy: 85.7
domain-generalization-on-pacs-2CAR-FT (CLIP, ViT-B/16)Average Accuracy: 96.8
domain-generalization-on-terraincognitaCAR-FT (CLIP, ViT-B/16)Average Accuracy: 61.9
domain-generalization-on-vlcsCAR-FT (CLIP, ViT-B/16)Average Accuracy: 85.5