Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation | ✓ Link | 67.4 | L2C (CLIP, ViT-L/14) | 2025-01-15 |
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization | ✓ Link | 65.5 | PromptStyler (CLIP, ViT-L/14) | 2023-07-27 |
Adapting to Distribution Shift by Visual Domain Prompt Generation | ✓ Link | 65.2 | VDPG (CLIP, ViT-L/14) | 2024-05-05 |
Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification | ✓ Link | 62.79 | VL2V-SD (CLIP, ViT-B/16) | 2023-10-12 |
Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters | ✓ Link | 62.7 | MoA (OpenCLIP, ViT-B/16) | 2023-10-17 |
Context-Aware Robust Fine-Tuning | | 62.5 | CAR-FT (CLIP, ViT-B/16) | 2022-11-29 |
SIMPLE: Specialized Model-Sample Matching for Domain Generalization | ✓ Link | 61.9 | SIMPLE+ | 2023-05-01 |
Rethinking Multi-domain Generalization with A General Learning Objective | ✓ Link | 61.3 | GMDG (RegNetY-16GF, SWAD) | 2024-02-29 |
Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation | ✓ Link | 61.2 | L2C (CLIP, ViT-B/16) | 2025-01-15 |
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization | ✓ Link | 60.9 | Ensemble of Averages (RegNetY-16GF) | 2021-10-21 |
Domain Generalization by Mutual-Information Regularization with Pre-trained Models | ✓ Link | 60.7 | MIRO (RegNetY-16GF, SWAD) | 2022-03-21 |
Soft Prompt Generation for Domain Generalization | ✓ Link | 60.1 | SPG (CLIP, ViT-B/16) | 2024-04-30 |
Adapting to Distribution Shift by Visual Domain Prompt Generation | ✓ Link | 59.8 | VDPG (CLIP, ViT-B/16) | 2024-05-05 |
Towards Unified and Effective Domain Generalization | ✓ Link | 59.5 | UniDG + CORAL + ConvNeXt-B | 2023-10-16 |
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization | ✓ Link | 59.4 | PromptStyler (CLIP, ViT-B/16) | 2023-07-27 |
Domain Generalization using Pretrained Models without Fine-tuning | | 54.7 | SEDGE+ | 2022-03-09 |
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization | ✓ Link | 54.6 | Ensemble of Averages (ResNeXt-50 32x4d) | 2021-10-21 |
Rethinking Multi-domain Generalization with A General Learning Objective | ✓ Link | 54.6 | GMDG (RegNetY-16GF) | 2024-02-29 |
Sparse Mixture-of-Experts are Domain Generalizable Learners | ✓ Link | 52.0 | Hybrid-SF-MoE | 2022-06-08 |
CADG: A Model Based on Cross Attention for Domain Generalization | | 51.6 | CADG | 2022-03-31 |
Soft Prompt Generation for Domain Generalization | ✓ Link | 50.1 | SPG (CLIP, ResNet-50) | 2024-04-30 |
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization | ✓ Link | 49.5 | PromptStyler (CLIP, ResNet-50) | 2023-07-27 |
SIMPLE: Specialized Model-Sample Matching for Domain Generalization | ✓ Link | 49.2 | SIMPLE | 2023-05-01 |
Sparse Mixture-of-Experts are Domain Generalizable Learners | ✓ Link | 48.7 | GMoE-S/16 | 2022-06-08 |
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization | ✓ Link | 47.4 | Ensemble of Averages (ResNet-50) | 2021-10-21 |
Rethinking Multi-domain Generalization with A General Learning Objective | ✓ Link | 47.3 | GMDG (ResNet-50, SWAD) | 2024-02-29 |
Domain Generalization by Mutual-Information Regularization with Pre-trained Models | ✓ Link | 47.0 | MIRO (ResNet-50, SWAD) | 2022-03-21 |
Dynamic Domain Generalization | ✓ Link | 46.93 | DDG | 2022-05-27 |
Adaptive Methods for Aggregated Domain Generalization | ✓ Link | 46.7 | AdaClust (ResNet-50, SWAD) | 2021-12-09 |
SWAD: Domain Generalization by Seeking Flat Minima | ✓ Link | 46.5 | SWAD (ResNet-50) | 2021-02-17 |
Domain Generalization using Pretrained Models without Fine-tuning | | 46.3 | SEDGE | 2022-03-09 |
Rethinking Multi-domain Generalization with A General Learning Objective | ✓ Link | 44.6 | GMDG (ResNet-50) | 2024-02-29 |
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts | ✓ Link | 44.2 | Meta-DMoE (ResNet-50) | 2022-10-08 |
POEM: Polarization of Embeddings for Domain-Invariant Representations | ✓ Link | 44.0 | POEM | 2023-05-22 |
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization | ✓ Link | 43.63 | DMG (ResNet-50) | 2020-08-28 |
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization | ✓ Link | 43.62 | MetaReg (ResNet-50) | 2020-08-28 |
Adaptive Methods for Aggregated Domain Generalization | ✓ Link | 43.3 | AdaClust (ResNet-50) | 2021-12-09 |
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization | ✓ Link | 41.8 | Fishr (ResNet-50) | 2021-09-07 |