Domain Generalization On Terraincognita

Métriques

Average Accuracy

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Average Accuracy	Paper Title	Repository
SIMPLE	57.6	SIMPLE: Specialized Model-Sample Matching for Domain Generalization
MoA (OpenCLIP, ViT-B/16)	52.8	Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters	-
GMoE-S/16	48.5	Sparse Mixture-of-Experts are Domain Generalizable Learners	-
EOQ (ResNet-50)	53.2	QT-DoG: Quantization-aware Training for Domain Generalization
Fishr(ResNet-50)	47.4	Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization	-
GMDG (ResNet-50)	51.1	Rethinking Multi-domain Generalization with A General Learning Objective
AdaClust (ResNet-50)	48.1	Adaptive Methods for Aggregated Domain Generalization
SIMPLE+	59.0	SIMPLE: Specialized Model-Sample Matching for Domain Generalization
MIRO (ResNet-50, SWAD)	52.9	Domain Generalization by Mutual-Information Regularization with Pre-trained Models
Model Ratatouille	52	Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization
UniDG + CORAL + ConvNeXt-B	69.6	Towards Unified and Effective Domain Generalization	-
SWAD (ResNet-50)	50.0	SWAD: Domain Generalization by Seeking Flat Minima
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 (ResNet-50)	52.3	Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization
SEDGE	56.8	Domain Generalization using Pretrained Models without Fine-tuning	-
GMDG (RegNetY-16GF, SWAD)	65	Rethinking Multi-domain Generalization with A General Learning Objective
GMDG (RegNetY-16GF)	60.7	Rethinking Multi-domain Generalization with A General Learning Objective
Ensemble of Averages (RegNetY-16GF)	61.1	Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization
VL2V-SD (CLIP, ViT-B/16)	58.54	Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification

0 of 30 row(s) selected.