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SOTA
Domain Generalization
Domain Generalization On Vlcs
Domain Generalization On Vlcs
评估指标
Average Accuracy
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Average Accuracy
Paper Title
Repository
VNE (ResNet-50, SWAD)
79.7
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution
SIMPLE
79.9
SIMPLE: Specialized Model-Sample Matching for Domain Generalization
MIRO (RegNetY-16GF, SWAD)
81.7
Domain Generalization by Mutual-Information Regularization with Pre-trained Models
CAR-FT (CLIP, ViT-B/16)
85.5
Context-Aware Robust Fine-Tuning
-
Fishr (ResNet-50)
78.2
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization
-
GMDG (ResNet-50)
79.2
Rethinking Multi-domain Generalization with A General Learning Objective
DADG (AlexNet)
74.46
Discriminative Adversarial Domain Generalization with Meta-learning based Cross-domain Validation
MoA (OpenCLIP, ViT-B/16)
83.1
Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters
-
Ensemble of Averages (RegNetY-16GF)
81.1
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization
SEDGE+
82.2
Domain Generalization using Pretrained Models without Fine-tuning
-
AdaClust (ResNet-50)
78.9
Adaptive Methods for Aggregated Domain Generalization
PromptStyler (CLIP, ResNet-50)
82.3
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization
AdaClust (ResNet-50, SWAD)
79.6
Adaptive Methods for Aggregated Domain Generalization
GMDG (RegNetY-16GF)
82.4
Rethinking Multi-domain Generalization with A General Learning Objective
SWAD (ResNet-50)
79.1
SWAD: Domain Generalization by Seeking Flat Minima
VL2V-SD (CLIP, ViT-B/16)
83.25
Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification
SEDGE
79.8
Domain Generalization using Pretrained Models without Fine-tuning
-
UniDG + CORAL + ConvNeXt-B
84.5
Towards Unified and Effective Domain Generalization
-
Ensemble of Averages (ResNeXt-50 32x4d)
80.4
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization
D-Triplet(RegNetY-16GF)
82.9
Domain-aware Triplet loss in Domain Generalization
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