Research map / Label-efficient and robust learning / Domain adaptation and generalization
Meta Distribution Alignment for Generalizable Person Re-Identification
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use latent-space prior distribution alignment with meta-learning and refinement | MDA · VIPeR | Rank-1: 56.9 -> 61.9 | Helped |
| Use latent-space prior distribution alignment with meta-learning and refinement | MDA · GRID | Rank-1: 50.6 -> 53.8 | Helped |
| Use latent-space prior distribution alignment with meta-learning and refinement | MDA · i-LIDS | Rank-1: 79.7 -> 81.0 | Helped |
| Use MDA instead of the strongest listed DG baseline | DG ReID · i-LIDS, ResNet-50 | Rank-1: 84.1 -> 80.4 | Hurt |
| Use MDA instead of the strongest listed DG baseline | DG ReID · MSMT17 → DukeMTMC-ReID | mAP: 52.6 -> 52.4 | Hurt |
| Add meta-learning-based optimization (ablation) | MDA · DukeMTMC-ReID → Market-1501 | Rank-1: 66.7 -> 70.3 | Helped |
| Add meta-learning-based optimization (ablation) | MDA · DukeMTMC-ReID → Market-1501 | mAP: 34.9 -> 38.0 | Helped |
| Add refine net to weight original and generated features (ablation) | MDA · DukeMTMC-ReID → Market-1501 | Rank-1: 69.0 -> 70.3 | Helped |
| Add refine net to weight original and generated features (ablation) | MDA · DukeMTMC-ReID → Market-1501 | mAP: 35.8 -> 38.0 | Helped |
| Increase the fraction of target samples used for test-time adaptive updating (ablation) | MDA · DukeMTMC-ReID → Market-1501 | Rank-1 | Helped |
| Increase the fraction of target samples used for test-time adaptive updating (ablation) | MDA · DukeMTMC-ReID → Market-1501 | mAP: +2.5% | Helped |
Closest papers by meaning
- Dual Distribution Alignment Network for Generalizable Person Re-Identification (AAAI 2021 · similarity 0.91)
- Generalizable Person Re-identification via Balancing Alignment and Uniformity (NeurIPS 2024 · similarity 0.91)
- Person30K: A Dual-Meta Generalization Network for Person Re-Identification (CVPR 2021 · similarity 0.91)
- Multi-Prompts Learning with Cross-Modal Alignment for Attribute-Based Person Re-identification (AAAI 2024 · similarity 0.85)
- Domain Generalizable Person Search Using Unreal Dataset (AAAI 2024 · similarity 0.85)
- Diversity-Authenticity Co-constrained Stylization for Federated Domain Generalization in Person Re-identification (AAAI 2024 · similarity 0.85)
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