Pseudo Label Based on Multiple Clustering for Unsupervised Cross-Domain Person Re-Identification
Pseudo Label Based on Multiple Clustering for Unsupervised Cross-Domain Person Re-Identification 這次分享一下2020年3-7月份的工作量——一篇自己的paper。 文章鏈接 主要是基於cross-domain Re-ID基於聚類的方法上提出了一個小trick。 主要思路 基於聚類的跨域行人重識別方法主
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相關文章
- 1. Stepwise Metric Promotion for Unsupervised Video Person Re-identification
- 2. Dynamic Label Graph Matching for Unsupervised Video Re-Identification
- 3. Unsupervised Person Re-identification via Multi-label Classification
- 4. Unsupervised Person Re-identification: Clustering and Fine-tuning
- 5. Unsupervised Person Re-identification: Clustering and Fine-tuning
- 6. Clustering - Unsupervised learning introduction
- 7. Self-Training With Progressive Augmentation for Unsupervised Cross-Domain Person Re-Identificatio
- 8. Unsupervised Deep Embedding for Clustering Analysis(DEC)
- 9. AAAI2020|Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification
- 10. 【論文閱讀】 Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification