Research map / Label-efficient and robust learning / Recognition and long-tail
Camera Style Adaptation for Person Re-Identification
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add camera-style transferred training images with LSR | IDE* · Market-1501 full-camera system | rank-1 accuracy: 85.66 -> 88.12 | Helped |
| Add camera-style transferred training images with LSR | IDE* · Market-1501 full-camera system | mAP: 65.87 -> 68.72 | Helped |
| Use cross-entropy instead of LSR for style-transferred images (ablation) | CamStyle · Market-1501 full-camera system | rank-1 accuracy: 88.12 -> 86.31 | Hurt |
| Apply LSR to real images instead of using cross-entropy (ablation) | IDE* · Market-1501 full-camera system | rank-1 accuracy: 85.66 -> 85.21 | Hurt |
| Add vanilla CamStyle without LSR | IDE* · Market-1501, 2-camera system | rank-1 accuracy: 43.2% to 60.3% | Helped |
| Add vanilla CamStyle without LSR | IDE* · DukeMTMC-reID, 2-camera system | rank-1 accuracy: 45.3% to 54.8% | Helped |
| Use vanilla CamStyle without LSR (ablation) | IDE* · Market-1501, 6-camera system | rank-1 accuracy: 85.6% to 86.3% | Helped |
| Use LSR on generated images rather than cross-entropy (ablation) | CamStyle · Market-1501 full-camera system | rank-1 accuracy: 86.31 -> 88.12 | Helped |
| Use LSR alone on real images (ablation) | IDE* · Market-1501 full-camera system | mAP: 65.87 -> 65.60 | Hurt |
| Increase the number of camera views used to train the style-transfer models (ablation) | CamStyle · Market-1501 full-camera system | rank-1 accuracy: 85.66 -> 88.12 | Helped |
| Combine CamStyle with Random Erasing (ablation) | IDE* · Market-1501 | rank-1 accuracy: 85.01 -> 89.49 | Helped |
| Combine CamStyle with Random Erasing | IDE* · DukeMTMC-reID | rank-1 accuracy: 72.31 -> 78.32 | Helped |
Closest papers by meaning
- Unity Style Transfer for Person Re-Identification (CVPR 2020 · similarity 0.91)
- Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification (CVPR 2021 · similarity 0.88)
- Exploring the Camera Bias of Person Re-identification (ICLR 2025 · similarity 0.86)
- AXM-Net: Implicit Cross-Modal Feature Alignment for Person Re-identification (AAAI 2022 · similarity 0.86)
- FlexiReID: Adaptive Mixture of Expert for Multi-Modal Person Re-Identification (ICML 2025 · similarity 0.85)
- Cheb-GR: Rethinking K-nearest Neighbor Search in Re-ranking for Person Re-identification (CVPR 2025 · similarity 0.85)
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