Research map / Label-efficient and robust learning / Domain adaptation and generalization
Subsidiary Prototype Alignment for Universal Domain Adaptation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add SPA (word-prototypes + pretext task + entropy loss) | OVANet · UniDA Office-Home | HOS: 71.8 -> 73.2 | Helped |
| add SPA | DCC · UniDA Office-Home | HOS: 70.2 -> 74.9 | Helped |
| add SPA | OVANet · UniDA DomainNet | HOS: 50.7 -> 52.2 | Helped |
| add SPA | DCC · OSDA Office-31 | HOS: 86.8 -> 93.2 | Helped |
| add architecture modification only (ablation) | OVANet · UniDA Office-Home | HOS: 71.8 -> 71.8 | No clear effect |
| add architecture modification only (ablation) | DCC · UniDA Office-Home | HOS: 70.2 -> 70.9 | Helped |
| add word-histogram self-entropy loss to arch mod (ablation) | OVANet · UniDA Office-Home | HOS: 71.8 -> 72.2 | Helped |
| add pretext task without entropy loss (ablation) | DCC · UniDA Office-Home | HOS: 70.2 -> 73.6 | Helped |
| add entropy loss on top of pretext task (full SPA) (ablation) | DCC · UniDA Office-Home | HOS: 73.6 -> 74.9 | Helped |
| add entropy loss on top of pretext task (full SPA) (ablation) | OVANet · UniDA Office-Home | HOS: 72.8 -> 73.2 | Helped |
| use rotation pretext task instead of proposed grid-shuffle instance-count task (ablation) | OVANet+arch-mod · UniDA Office-Home | HOS: 73.2 -> 72.4 | Hurt |
| use colorization pretext task instead of proposed one (ablation) | OVANet+arch-mod · UniDA Office-Home | HOS: 73.2 -> 71.8 | Hurt |
Closest papers by meaning
- Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation (AAAI 2025 · similarity 0.90)
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- Unified Language-driven Zero-shot Domain Adaptation (CVPR 2024 · similarity 0.89)
- Tackling Dimensional Collapse toward Comprehensive Universal Domain Adaptation (ICML 2025 · similarity 0.89)
- Universal Domain Adaptation for Semantic Segmentation (CVPR 2025 · similarity 0.89)
- Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation (ICLR 2024 · similarity 0.89)
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