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SOTA
Domainverallgemeinerung
Domain Generalization On Pacs 2
Domain Generalization On Pacs 2
Metriken
Average Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
Average Accuracy
Paper Title
SIMPLE+
99.0
SIMPLE: Specialized Model-Sample Matching for Domain Generalization
PromptStyler (CLIP, ViT-L/14)
98.6
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization
GMDG (RegNetY-16GF, SWAD)
97.9
Rethinking Multi-domain Generalization with A General Learning Objective
D-Triplet(RegNetY-16GF)
97.6
Domain-aware Triplet loss in Domain Generalization
MoA (OpenCLIP, ViT-B/16)
97.4
Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters
GMDG (e RegNetY-16GF)
97.3
Rethinking Multi-domain Generalization with A General Learning Objective
PromptStyler (CLIP, ViT-B/16)
97.2
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization
SPG (CLIP, ViT-B/16)
97.0
Soft Prompt Generation for Domain Generalization
CAR-FT (CLIP, ViT-B/16)
96.8
Context-Aware Robust Fine-Tuning
MIRO (RegNetY-16GF, SWAD)
96.8
Domain Generalization by Mutual-Information Regularization with Pre-trained Models
VL2V-SD (CLIP, ViT-B/16)
96.68
Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification
SEDGE+
96.1
Domain Generalization using Pretrained Models without Fine-tuning
Ensemble of Averages (RegNetY-16GF)
95.8
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization
UniDG + CORAL + ConvNeXt-B
95.6
Towards Unified and Effective Domain Generalization
CADG
94.6
CADG: A Model Based on Cross Attention for Domain Generalization
Ensemble of Averages (ResNeXt-50 32x4d)
93.2
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization
PromptStyler (CLIP, ResNet-50)
93.2
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization
SPG (CLIP, ResNet-50)
92.8
Soft Prompt Generation for Domain Generalization
EoQ (ResNet-50)
90.7
QT-DoG: Quantization-aware Training for Domain Generalization
Model Ratatouille
90.5
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization
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Domain Generalization On Pacs 2 | SOTA | HyperAI