Pose-guided Visible Part Matching for Occluded Person ReID閱讀筆記
Paper：https://arxiv.org/abs/2004.00230 Code：https://github.com/hh23333/PVPM 前言：本人閱讀的第二篇CVPR 2020關於ReID的論文。主要解決了遮擋行人重識別的問題，其中涉及了姿態估計、 摘要：遮擋行人重識別是一項具有挑戰性的任務，特別是在密集場景中，被遮擋者的外觀會隨着遮擋物體的不同而發生顯著的變化。爲了解決此問題，本
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相關文章
- 1. Pose-Guided Feature Alignment for Occluded Person Re-Identification閱讀筆記
- 2. person ReID（行人重識別）2018CVPR paper閱讀筆記
- 3. 論文筆記：Auto-ReID: Searching for a Part-aware ConvNet for Person Re-Identification
- 4. ReID論文筆記1-Deeply-Learned Part-Aligned Representations for Person Re-Identification
- 5. part-aligned系列論文：1707.Deep Representation Learning with Part Loss for Person ReID 論文閱讀筆記
- 6. 論文閱讀《Foreground-aware Pyramid Reconstruction for Alignment-free Occluded Person Re-identification》
- 7. Re-ID閱讀筆記(一)：《Deeply-Learned Part-Aligned Representations for Person Re-Identification》
- 8. Matching Networks for one Shot Learning 閱讀筆記
- 9. Horizontal Pyramid Matching for Person Re-identification論文閱讀
- 10. EANet: Enhancing Alignment for Cross-Domain Person Re-identification閱讀筆記