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SOTA
Domainverallgemeinerung
Domain Generalization On Terraincognita
Domain Generalization On Terraincognita
Metriken
Average Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
Average Accuracy
Paper Title
UniDG + CORAL + ConvNeXt-B
69.6
Towards Unified and Effective Domain Generalization
GMDG (RegNetY-16GF, SWAD)
65
Rethinking Multi-domain Generalization with A General Learning Objective
MIRO (RegNetY-16GF, SWAD)
64.3
Domain Generalization by Mutual-Information Regularization with Pre-trained Models
CAR-FT (CLIP, ViT-B/16)
61.9
Context-Aware Robust Fine-Tuning
Ensemble of Averages (RegNetY-16GF)
61.1
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization
GMDG (RegNetY-16GF)
60.7
Rethinking Multi-domain Generalization with A General Learning Objective
SIMPLE+
59.0
SIMPLE: Specialized Model-Sample Matching for Domain Generalization
VL2V-SD (CLIP, ViT-B/16)
58.54
Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification
SIMPLE
57.6
SIMPLE: Specialized Model-Sample Matching for Domain Generalization
SEDGE+
56.8
Domain Generalization using Pretrained Models without Fine-tuning
SEDGE
56.8
Domain Generalization using Pretrained Models without Fine-tuning
CADG
55.7
CADG: A Model Based on Cross Attention for Domain Generalization
Ensemble of Averages (ResNeXt-50 32x4d)
55.2
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization
EOQ (ResNet-50)
53.2
QT-DoG: Quantization-aware Training for Domain Generalization
GMDG (ResNet-50, SWAD)
53.0
Rethinking Multi-domain Generalization with A General Learning Objective
MIRO (ResNet-50, SWAD)
52.9
Domain Generalization by Mutual-Information Regularization with Pre-trained Models
MoA (OpenCLIP, ViT-B/16)
52.8
Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters
Ensemble of Averages (ResNet-50)
52.3
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization
Model Ratatouille
52
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization
VNE (ResNet-50, SWAD)
51.7
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution
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Domain Generalization On Terraincognita | SOTA | HyperAI