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Domain Generalization On Office Home

Metrics

Average Accuracy

Results

Performance results of various models on this benchmark

Model Name
Average Accuracy
Paper TitleRepository
MIRO (ResNet-50, SWAD)72.4Domain Generalization by Mutual-Information Regularization with Pre-trained Models-
Fishr (ResNet-50)68.2Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization-
GMDG (ResNet-50, SWAD)72.5Rethinking Multi-domain Generalization with A General Learning Objective-
PromptStyler (CLIP, ResNet-50)73.6PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization-
GMoE-S/1674.2Sparse Mixture-of-Experts are Domain Generalizable Learners-
WAKD (DeiT-Ti)70.5Weight Averaging Improves Knowledge Distillation under Domain Shift-
PromptStyler (CLIP, ViT-B/16)83.6PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization-
AdaClust (ResNet-50, SWAD)69.4Adaptive Methods for Aggregated Domain Generalization-
PCL (swad+resnet50)71.6PCL: Proxy-Based Contrastive Learning for Domain Generalization
MIRO (RegNetY-16GF, SWAD)83.3Domain Generalization by Mutual-Information Regularization with Pre-trained Models-
UniDG + CORAL + ConvNeXt-B88.9Towards Unified and Effective Domain Generalization-
AdaClust (ResNet-50)67.7Adaptive Methods for Aggregated Domain Generalization-
CADG79.9CADG: A Model Based on Cross Attention for Domain Generalization-
SEDGE79.9Domain Generalization using Pretrained Models without Fine-tuning-
SagNet (ResNet-18)62.34Reducing Domain Gap by Reducing Style Bias-
Ensemble of Averages (RegNetY-16GF)83.9Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization-
SWAD (ResNet-50)70.6SWAD: Domain Generalization by Seeking Flat Minima-
DADG (ResNet-18)62.22Discriminative Adversarial Domain Generalization with Meta-learning based Cross-domain Validation-
GMDG (ResNet-50)70.7Rethinking Multi-domain Generalization with A General Learning Objective-
SPG (CLIP, ResNet-50)73.8Soft Prompt Generation for Domain Generalization-
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