Self-Training With Progressive Augmentation for Unsupervised Cross-Domain Person Re-Identification
行人重識別之cross domain Self-Training With Progressive Augmentation for Unsupervised Cross-Domain Person Re-Identification (ICCV2019) 原文鏈接 代碼連接 cross domain: 很多reid的算法都是針對用同一個數據庫訓練和測試，這在現實生活中意義不大。所以，如何使得在A
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相關文章
- 1. 論文解讀：Self-training with progressive augmentation for unsupervised person re-ID（PAST）
- 2. Self-Training With Progressive Augmentation for Unsupervised Cross-Domain Person Re-Identificatio
- 3. 【PLPR】Progressive Learning for Person Re-Identification with One Example
- 4. Unsupervised Data Augmentation for Consistency Training
- 5. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 論文筆記
- 6. 2019 CVPR之ReID：Towards Rich Feature Discovery with Class Activation Maps Augmentation for Person Re-
- 7. Unsupervised Data Augmentation For Consistency Training 論文閱讀
- 8. Stepwise Metric Promotion for Unsupervised Video Person Re-identification
- 9. Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification
- 10. 【ReID】【Skimming】Unsupervised Cross-Dataset Transfer Learning for Person Re-identification