【person search】Re-ID Driven Localization Refinement for Person Search
Paper：Re-ID Driven Localization Refinement for Person Search Motivation：由於檢測任務注重人的共同性，而重新識別任務則關注人與人之間的差異。 更準的框可以排除掉背景非目標人的干擾和，把目標人的丟失的屬性信息找回來（比如揹包）。 Contribution: 1，在re-ID損失的監督下優化探測器，以生產出可靠的包圍盒。 t
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相關文章
- 1. Bi-directional Interaction Network for Person Search
- 2. Person search: Joint Detection and Identification Feature Learning for Person Search筆記
- 3. Learning Context Graph for Person Search
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- 5. person search編譯運行
- 6. 【ReID】Hierarchical and Efficient Learning for Person Re-Identification
- 7. 【ReID】EANet: Enhancing Alignment for Cross-Domain Person Re-identification
- 8. 【ReID】【Skimming】Unity Style Transfer for Person Re-Identification
- 9. 【ReID】Batch DropBlock Network for Person Re-identification and Beyond
- 10. 1604.Joint Detection and Identification Feature Learning for Person Search論文閱讀筆記