| Towards Unified and Effective Domain Generalization | ✓ Link | 69.6 | UniDG + CORAL + ConvNeXt-B | 2023-10-16 |
| Rethinking Multi-domain Generalization with A General Learning Objective | ✓ Link | 65 | GMDG (RegNetY-16GF, SWAD) | 2024-02-29 |
| Domain Generalization by Mutual-Information Regularization with Pre-trained Models | ✓ Link | 64.3 | MIRO (RegNetY-16GF, SWAD) | 2022-03-21 |
| Context-Aware Robust Fine-Tuning | | 61.9 | CAR-FT (CLIP, ViT-B/16) | 2022-11-29 |
| Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization | ✓ Link | 61.1 | Ensemble of Averages (RegNetY-16GF) | 2021-10-21 |
| Rethinking Multi-domain Generalization with A General Learning Objective | ✓ Link | 60.7 | GMDG (RegNetY-16GF) | 2024-02-29 |
| SIMPLE: Specialized Model-Sample Matching for Domain Generalization | ✓ Link | 59.0 | SIMPLE+ | 2023-05-01 |
| Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification | ✓ Link | 58.54 | VL2V-SD (CLIP, ViT-B/16) | 2023-10-12 |
| SIMPLE: Specialized Model-Sample Matching for Domain Generalization | ✓ Link | 57.6 | SIMPLE | 2023-05-01 |
| Domain Generalization using Pretrained Models without Fine-tuning | | 56.8 | SEDGE+ | 2022-03-09 |
| Domain Generalization using Pretrained Models without Fine-tuning | | 56.8 | SEDGE | 2022-03-09 |
| CADG: A Model Based on Cross Attention for Domain Generalization | | 55.7 | CADG | 2022-03-31 |
| Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization | ✓ Link | 55.2 | Ensemble of Averages (ResNeXt-50 32x4d) | 2021-10-21 |
| QT-DoG: Quantization-aware Training for Domain Generalization | ✓ Link | 53.2 | EOQ (ResNet-50) | 2024-10-08 |
| Rethinking Multi-domain Generalization with A General Learning Objective | ✓ Link | 53.0 | GMDG (ResNet-50, SWAD) | 2024-02-29 |
| Domain Generalization by Mutual-Information Regularization with Pre-trained Models | ✓ Link | 52.9 | MIRO (ResNet-50, SWAD) | 2022-03-21 |
| Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters | ✓ Link | 52.8 | MoA (OpenCLIP, ViT-B/16) | 2023-10-17 |
| Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization | ✓ Link | 52.3 | Ensemble of Averages (ResNet-50) | 2021-10-21 |
| Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization | ✓ Link | 52 | Model Ratatouille | 2022-12-20 |
| VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution | ✓ Link | 51.7 | VNE (ResNet-50, SWAD) | 2023-04-04 |
| Rethinking Multi-domain Generalization with A General Learning Objective | ✓ Link | 51.1 | GMDG (ResNet-50) | 2024-02-29 |
| QT-DoG: Quantization-aware Training for Domain Generalization | ✓ Link | 50.8 | QT-DoG (ResNet-50) | 2024-10-08 |
| Adaptive Methods for Aggregated Domain Generalization | ✓ Link | 50.6 | AdaClust (ResNet-50, SWAD) | 2021-12-09 |
| Soft Prompt Generation for Domain Generalization | ✓ Link | 50.2 | SPG (CLIP, ViT-B/16) | 2024-04-30 |
| SWAD: Domain Generalization by Seeking Flat Minima | ✓ Link | 50.0 | SWAD (ResNet-50) | 2021-02-17 |
| POEM: Polarization of Embeddings for Domain-Invariant Representations | ✓ Link | 49.5 | POEM | 2023-05-22 |
| Automated Domain Discovery from Multiple Sources to Improve Zero-Shot Generalization | ✓ Link | 48.66 | DREAME | 2021-12-17 |
| Sparse Mixture-of-Experts are Domain Generalizable Learners | ✓ Link | 48.5 | GMoE-S/16 | 2022-06-08 |
| Adaptive Methods for Aggregated Domain Generalization | ✓ Link | 48.1 | AdaClust (ResNet-50) | 2021-12-09 |
| Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization | ✓ Link | 47.4 | Fishr(ResNet-50) | 2021-09-07 |