Research map / Label-efficient and robust learning / Recognition and long-tail
Unsupervised Person Re-Identification by Soft Multilabel Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use soft multilabel-guided hard negative mining with cross-view consistency and reference agent learning | MAR · Market-1501 | rank-1: 62.2 -> 67.7 | Helped |
| Use soft multilabel-guided hard negative mining with cross-view consistency and reference agent learning | MAR · DukeMTMC-reID | mAP: 27.2 -> 48.0 | Helped |
| Add soft multilabel-guided target-domain hard negative mining (ablation) | MAR · Market-1501 | rank-1: 46.2 -> 67.7 | Helped |
| Replace feature-similarity guidance with soft multilabel guidance (ablation) | hard negative mining · Market-1501 | rank-1: 44.4 -> 67.7 | Helped |
| Add cross-view consistent soft multilabel learning loss L_CML (ablation) | MAR · Market-1501 | rank-1: 60.0 -> 67.7 | Helped |
| Add reference agent learning loss L_RAL (ablation) | MAR · Market-1501 | mAP: 30.8 -> 40.0 | Helped |
| Add both cross-view consistency and reference agent learning losses (ablation) | MAR · DukeMTMC-reID | rank-1: 60.1 -> 67.1 | Helped |
Closest papers by meaning
- Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification (ICLR 2020 · similarity 0.92)
- Unsupervised Person Re-Identification via Softened Similarity Learning (CVPR 2020 · similarity 0.91)
- Intra-Inter Camera Similarity for Unsupervised Person Re-Identification (CVPR 2021 · similarity 0.91)
- Unsupervised Person Re-Identification via Multi-Label Classification (CVPR 2020 · similarity 0.91)
- Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification (CVPR 2018 · similarity 0.90)
- Camera-Aware Proxies for Unsupervised Person Re-Identification (AAAI 2021 · similarity 0.90)
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