1604.Person Re-identification in the Wild 論文筆記
1.摘要 這篇論文發佈了一個可以研究端到端的行人檢測-重識別的大規模數據集和一些baselines，baselines主要包括不同檢測器和reid識別算法組合的性能，行人檢測怎麼有助於reid準確率的提升及評估不同檢測器對reid的有效性。 貢獻： PRW數據集及基於數據集的廣泛的benchmark（state-of-the-art detection and recognition method
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相關文章
- 1. 論文筆記：Towards accurate multi-person pose estimation in the wild（G-RMI）
- 2. 【論文閱讀筆記】Towards Accurate Multi-person Pose Estimation in the Wild
- 3. Material Recognition in the Wild with the Materials in Context Database論文筆記
- 4. 論文閱讀：《Towards accurate multi-person pose estimation in the wild》CVPR 2017
- 5. 論文閱讀：G-RMI：Towards accurate multi-person pose estimation in the wild——2017CVPR
- 6. 1604.An Enhanced Deep Feature Representation for Person Re-identification 論文筆記
- 7. 1604.Joint Detection and Identification Feature Learning for Person Search論文閱讀筆記
- 8. 1705.IAN- The Individual Aggregation Network for Person Search 論文閱讀筆記
- 9. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 論文筆記
- 10. Traffic-Sign Detection and Classification in the Wild 論文筆記