Research map / Label-efficient and robust learning / Domain adaptation and generalization
Unsupervised Adaptive Re-Identification in Open World Dynamic Camera Networks
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use best-source-camera selection and transitive inference instead of CPS | Proposed unsupervised method · WARD | rank-1 recognition: 23.44% | Helped |
| Use best-source-camera selection and transitive inference instead of CPS | Proposed unsupervised method · RAiD | rank-1 recognition: 24.50% | Helped |
| Use best-source-camera selection and transitive inference instead of CPS | Proposed unsupervised method · SAIVT-SoftBio | rank-1 recognition: 9.98% | Helped |
| Add transitive inference using the best source camera (ablation) | Best-GFK · RAiD | nAUC: maximum improvement of 17% | Helped |
| Add transitive inference using the best source camera (ablation) | Best-GFK · Shinpuhkan2014, 16-camera network | nAUC: 4% | Helped |
| Use PLS with 100% of target-camera labels instead of unsupervised PCA (ablation) | Proposed method · RAiD | rank-1 accuracy: 59.84% vs 60.04% | Helped |
| Use PLS with 100% of target-camera labels instead of unsupervised PCA (ablation) | Proposed method · SAIVT-SoftBio | rank-1 accuracy: 24.92% vs 26.41% | Helped |
| Replace KISSME with LDML for the installed-camera metrics (ablation) | Proposed method · WARD | rank-1 accuracy: 68.99 vs 73.77 | Helped |
| Replace KISSME with LDML for the installed-camera metrics (ablation) | Proposed method · RAiD | rank-1 accuracy: 59.84 vs 61.87 | Helped |
| Use Direct-GFK instead of selecting the best source camera (ablation) | GFK adaptation · Single-camera introduction experiments | re-identification accuracy | Hurt |
Closest papers by meaning
- Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification (CVPR 2021 · similarity 0.89)
- Camera On-Boarding for Person Re-Identification Using Hypothesis Transfer Learning (CVPR 2020 · similarity 0.89)
- Cheb-GR: Rethinking K-nearest Neighbor Search in Re-ranking for Person Re-identification (CVPR 2025 · similarity 0.87)
- Exploring the Camera Bias of Person Re-identification (ICLR 2025 · similarity 0.86)
- Alice Benchmarks: Connecting Real World Re-Identification with the Synthetic (ICLR 2024 · similarity 0.86)
- CDE-Learning: Camera Deviation Elimination Learning for Unsupervised Person Re-identification (AAAI 2025 · similarity 0.86)
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