Research map / Label-efficient and robust learning / Domain adaptation and generalization
Your Classifier can Secretly Suffice Multi-Source Domain Adaptation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use SImpAl instead of the strongest listed MSDA baseline | Multi-source domain adaptation · Office-31 (Avg) | accuracy: 90.2 -> 89.5 | Hurt |
| Use SImpAl instead of the strongest listed MSDA baseline | Multi-source domain adaptation · ImageCLEF (Avg) | accuracy: 89.4 -> 88.3 | Hurt |
| Use SImpAl instead of the strongest listed MSDA baseline | Multi-source domain adaptation · Office-Caltech (Avg) | accuracy: 96.1 -> 97.5 | Helped |
| Use SImpAl instead of the strongest listed MSDA baseline | Multi-source domain adaptation · Office-Home (Avg) | accuracy: 74.1 -> 74.8 | Helped |
| Use SImpAl instead of the strongest listed MSDA baseline | Multi-source domain adaptation · DomainNet (Avg) | accuracy: 41.5$^{\pm\text{0.7}}$ -> 48.6$^{\pm\text{0.6}}$ | Helped |
| Select pseudo-labeled target samples where classifiers agree | SImpAl · Unlabeled target samples | pseudo-label accuracy | Helped |
| Order agreed target samples by classifier margin, from high to low | SImpAl · Unlabeled target samples | pseudo-label precision | Helped |
| Use target classifier-agreement convergence as the stopping cue | SImpAl · Unlabeled target samples | target accuracy | Helped |
Closest papers by meaning
- Partial Feature Selection and Alignment for Multi-Source Domain Adaptation (CVPR 2021 · similarity 0.91)
- Invertible Projection and Conditional Alignment for Multi-Source Blended-Target Domain Adaptation (AAAI 2025 · similarity 0.89)
- Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer (CVPR 2024 · similarity 0.88)
- Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment (CVPR 2025 · similarity 0.87)
- Understanding and Improving Source-free Domain Adaptation from a Theoretical Perspective (CVPR 2024 · similarity 0.87)
- Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety (CVPR 2025 · similarity 0.87)
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