ML Research Wiki / Benchmarks / Single-Source Domain Generalization / PACS

PACS

Single-Source Domain Generalization Benchmark

Performance Over Time

📊 Showing 8 results | 📏 Metric: Accuracy

Top Performing Models

Rank Model Paper Accuracy Date Code
1 Crafting-Shifts(ResNet18) Crafting Distribution Shifts for Validation and Training in Single Source Domain Generalization 70.37 2024-09-29 📦 nikosefth/crafting-shifts
2 MCL (ResNet18) Meta-causal Learning for Single Domain Generalization 69.86 2023-04-07 -
3 ProRandConv (ResNet18) Progressive Random Convolutions for Single Domain Generalization 68.88 2023-04-02 -
4 ITTA (ResNet18) Improved Test-Time Adaptation for Domain Generalization 68.40 2023-04-10 📦 liangchen527/itta
5 XDED (ResNet18) Cross-Domain Ensemble Distillation for Domain Generalization 66.50 2022-11-25 📦 leekyungmoon/XDED
6 ABA (ResNet18) Adversarial Bayesian Augmentation for Single-Source Domain Generalization 66.36 2023-07-18 📦 shengcheng/aba
7 SagNet (ResNet18) Reducing Domain Gap by Reducing Style Bias 61.90 2019-10-25 📦 facebookresearch/DomainBed 📦 hyeonseobnam/style-agnostic-networks 📦 hyeonseobnam/sagnet
8 SelfReg (ResNet18) SelfReg: Self-supervised Contrastive Regularization for Domain Generalization 59.59 2021-04-20 📦 facebookresearch/DomainBed 📦 dnap512/SelfReg

All Papers (8)

nikosefth/crafting-shifts
liangchen527/itta
leekyungmoon/XDED
shengcheng/aba
facebookresearch/DomainBed hyeonseobnam/style-agnostic-networks hyeonseobnam/sagnet
facebookresearch/DomainBed dnap512/SelfReg