ICCV2019-行人重識別-View Confusion Feature Learning for Person Re-identification
動機： 這篇文章的出發點很明確，就是解決re-id問題中不同行人視角的匹配問題。在之前有不少文章，比如Pose-Normalized Image Generation for Person Re-identification這篇文章，就是將不同視角下的行人匹配到同一個視角下。與這篇的思想類似，作者想到，匹配到某個視角下這樣誤查一定很大，也不一定準確，所以，不一定要匹配到這樣一個「具體的視角」而匹配
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- 3. [行人重識別]--ICCV2019-Mixed High-Order Attention Network for Person Re-Identification
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相關文章
- 1. View Confusion Feature Learning for Person Re-identification
- 2. ICCV2019-行人重識別-Mixed High-Order Attention Network for Person Re-Identification
- 3. [行人重識別]--ICCV2019-Mixed High-Order Attention Network for Person Re-Identification
- 4. ICCV2019-行人重識別-Instance-Guided Context Rendering for Cross-Domain Person Re-Identification
- 5. ICCV2019-行人重識別-Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification
- 6. 泛讀論文：Person-reID 行人重識別合集
- 7. CVPR2019-行人重識別-Interaction-and-Aggregation Network for Person Re-identification
- 8. 【行人識別】Deep Transfer Learning for Person Re-identification
- 9. [行人重識別]--AAAI2020-Relation Network for Person Re-identification
- 10. 跨模態行人重識別-閱讀筆記1《HPILN: A feature learning framework for cross modality person re-identification》