ICCV2019-行人重识别-View Confusion Feature Learning for Person Re-identification
动机： 这篇文章的出发点很明确，就是解决re-id问题中不同行人视角的匹配问题。在之前有不少文章，比如Pose-Normalized Image Generation for Person Re-identification这篇文章，就是将不同视角下的行人匹配到同一个视角下。与这篇的思想类似，作者想到，匹配到某个视角下这样误查一定很大，也不一定准确，所以，不一定要匹配到这样一个“具体的视角”而匹配
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相关文章
- 1. View Confusion Feature Learning for Person Re-identification
- 2. ICCV2019-行人重识别-Mixed High-Order Attention Network for Person Re-Identification
- 3. [行人重识别]--ICCV2019-Mixed High-Order Attention Network for Person Re-Identification
- 4. ICCV2019-行人重识别-Instance-Guided Context Rendering for Cross-Domain Person Re-Identification
- 5. ICCV2019-行人重识别-Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification
- 6. 泛读论文：Person-reID 行人重识别合集
- 7. CVPR2019-行人重识别-Interaction-and-Aggregation Network for Person Re-identification
- 8. 【行人识别】Deep Transfer Learning for Person Re-identification
- 9. [行人重识别]--AAAI2020-Relation Network for Person Re-identification
- 10. 跨模态行人重识别-阅读笔记1《HPILN: A feature learning framework for cross modality person re-identification》