Research map / Label-efficient and robust learning / Recognition and long-tail
Camera On-Boarding for Person Re-Identification Using Hypothesis Transfer Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use pairwise PCA rather than global PCA (ablation) | Camera on-boarding with hypothesis transfer · RAiD | Rank-1 accuracy: 51.25 to 22.92 | Hurt |
| Use pairwise PCA rather than global PCA (ablation) | Camera on-boarding with hypothesis transfer · WARD | Rank-1 accuracy: 62.86 to 25.71 | Hurt |
| Remove source-metric transfer by setting λ=0 (ablation) | Camera on-boarding with hypothesis transfer · WARD | Rank-1 accuracy: 62.86% to 27.14% | Hurt |
| Use random PSD initialization instead of identity initialization (ablation) | Camera on-boarding with hypothesis transfer · RAiD | Rank-1 accuracy: 51.25 vs 50.83 | No clear effect |
| Use random PSD initialization instead of identity initialization (ablation) | Camera on-boarding with hypothesis transfer · WARD | Rank-1 accuracy: 62.82 vs 62.38 | No clear effect |
| Add weighted transfer from multiple source metrics | Camera on-boarding with hypothesis transfer · RAiD | Rank-1 accuracy: 20.60% | Helped |
| Add weighted transfer from multiple source metrics | Camera on-boarding with hypothesis transfer · WARD | Rank-1 accuracy: 13.81% | Helped |
| Add weighted transfer from multiple source metrics | Camera on-boarding with hypothesis transfer · Market1501 | Rank-1 accuracy: 2.01% | Helped |
| Add weighted transfer from multiple source metrics | Camera on-boarding with hypothesis transfer · MSMT17 | Rank-1 accuracy: 1.07% | Helped |
| Add hypothesis transfer for parallel onboarding of two cameras | Camera on-boarding with hypothesis transfer · Market1501 | Rank-1 accuracy: 5.45% | Helped |
| Add hypothesis transfer for parallel onboarding of three cameras | Camera on-boarding with hypothesis transfer · Market1501 | Rank-1 accuracy: 3.73% | Helped |
| Add hypothesis transfer for sequential onboarding of three cameras | Camera on-boarding with hypothesis transfer · Market1501 | Rank-1 accuracy: 8.22% | Helped |
Closest papers by meaning
- Unsupervised Adaptive Re-Identification in Open World Dynamic Camera Networks (CVPR 2017 · similarity 0.89)
- Camera-Aware Proxies for Unsupervised Person Re-Identification (AAAI 2021 · similarity 0.88)
- Unsupervised Cross-Dataset Transfer Learning for Person Re-Identification (CVPR 2016 · similarity 0.87)
- Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification (ICLR 2020 · similarity 0.87)
- Exploring the Camera Bias of Person Re-identification (ICLR 2025 · similarity 0.87)
- Alice Benchmarks: Connecting Real World Re-Identification with the Synthetic (ICLR 2024 · similarity 0.86)
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