Research map / Image generation / Autoregressive and latent generation
Re-Ranking via Metric Fusion for Object Retrieval and Person Re-Identification
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use UED instead of RED to fuse B2, B3, and B4 | ModelNet40 retrieval · ModelNet40 | AUC: 86.48 -> 88.05 | Helped |
| Use UED instead of RED to fuse B2, B3, and B4 | ModelNet40 retrieval · ModelNet40 | mAP: 85.71 -> 87.30 | Helped |
| Use UED instead of RED to fuse B1, B2, and B3 | ModelNet10 retrieval · ModelNet10 | AUC: 93.20 -> 93.37 | Helped |
| Use UED instead of RED to fuse B1, B3, and B4 | ModelNet10 retrieval · ModelNet10 | mAP: 92.17 -> 92.08 | Hurt |
| Use UED instead of RED to fuse all four baseline similarities | Holidays retrieval · Holidays | mAP: 93.32 -> 93.56 | Helped |
| Use UED instead of RED with B1, B2, and B3 | Holidays retrieval · Holidays | mAP: 93.32 -> 93.31 | No clear effect |
| Use UED instead of RED with the same baseline similarities | Market-1501 re-identification · Market-1501 | rank-1 accuracy: 94.74 -> 95.90 | Helped |
| Use UED instead of RED with the same baseline similarities | Market-1501 re-identification · Market-1501 | mAP: 91.00 -> 92.75 | Helped |
Closest papers by meaning
- Re-Ranking Person Re-Identification With k-Reciprocal Encoding (CVPR 2017 · similarity 0.88)
- Cheb-GR: Rethinking K-nearest Neighbor Search in Re-ranking for Person Re-identification (CVPR 2025 · similarity 0.87)
- A Pose-Sensitive Embedding for Person Re-Identification With Expanded Cross Neighborhood Re-Ranking (CVPR 2018 · similarity 0.86)
- Cluster-Aware Similarity Diffusion for Instance Retrieval (ICML 2024 · similarity 0.84)
- Alice Benchmarks: Connecting Real World Re-Identification with the Synthetic (ICLR 2024 · similarity 0.84)
- FlexiReID: Adaptive Mixture of Expert for Multi-Modal Person Re-Identification (ICML 2025 · similarity 0.84)
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