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Domain Generalization on PACS OOD (test)

97.3Average AccuracyCRoFT
79.82884.36488.993.436Jun 8, 2021Dec 5, 2021Jun 4, 2022Dec 1, 2022May 31, 2023Nov 27, 2023May 26, 2024

Evaluation results

MethodLinks
CRoFTV-Net=ViT162024.0597.3——————
Tip-Adapter-FV-Net=ViT162024.0596.9——————
CoCoOpV-Net=ViT162024.0596.8——————
Bayes-CALV-Net=ViT162024.0596.6——————
CoOpV-Net=ViT162024.0596.3——————
CLIPV-Net=ViT162024.0596.1——————
CLIP (KNN)V-Net=ViT162024.0596.1——————
CLIP-AdapterV-Net=ViT162024.0596.1——————
DPLCLIPV-Net=ViT162024.0595.6——————
VL2V-ADIPStudent Backbone=ViT-B/16, Strategy=SWAD2023.1094.94——————
RISEStudent Backbone=ViT-B/162023.1093.54——————
CRoFTV-Net=RN502024.0592.5——————
Tip-Adapter-FV-Net=RN502024.0592.2——————
CoCoOpV-Net=RN502024.0591.8——————
Bayes-CALV-Net=RN502024.0591.8——————
CoOpV-Net=RN502024.0591.5——————
KDStudent Backbone=ViT-B/16, Strategy=SWAD2023.1091.46——————
CLIP-AdapterV-Net=RN502024.0590.9——————
CLIPV-Net=RN502024.0590.8——————
CLIP (KNN)V-Net=RN502024.0590.8——————
Sparse and Shared Feature ActivationsNumber of shots=10-shot2023.0490.49086.698.986.2——
DPLCLIPV-Net=RN502024.0589.6——————
Sparse and Shared Feature ActivationsNumber of shots=5-shot2023.0488.386.783.597.885——
ERMNumber of shots=10-shot2023.0487.988.984.297.481——
Sparse and Shared Feature ActivationsFramework=DomainBed2023.0487.586.783.597.883.1——
ERMNumber of shots=5-shot2023.0487.185.779.198.684.9——
Algorithm 1 SelectionSelection Criterion=Algorithm 12021.0686.5788.7281.7496.83791.66—
ERMFramework=DomainBed2023.0485.788.179.197.877.9——
Validation Accuracy SelectionSelection Criterion=Validation Accuracy2021.0684.9185.280.4296.1777.86——
Sparse and Shared Feature ActivationsNumber of shots=1-shot2023.0481.581.7719875.4——
ERMNumber of shots=1-shot2023.0480.580.475.893.372.3——
CLAdapterComparison Target=Baseline, Backbone=ViT2025.12——————3.6
CLAdapterComparison Target=SOTA, Backbone=ViT2025.12——————3.6