論文筆記：Deeply-Learned Part-Aligned Representations for Person Re-Identification
論文筆記：Deeply-Learned Part-Aligned Representations for Person Re-Identification 簡介 這是ICCV2017的一篇person Re-id的論文。論文提出了一種新的對其方法，以便在攝像機移動的場景下，更準確地匹配不同姿勢、位置的person re-identification。不同於以往常用的空間分割方法，本文采用人類身體部
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- 1. part-aligned系列論文：1707.Deeply-Learned Part-Aligned Representations for Person Re-Identification 論文筆記
- 2. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 論文筆記
- 3. Part-Aligned Bilinear Representations for Person Re-identification 論文筆記
- 4. ReID論文筆記1-Deeply-Learned Part-Aligned Representations for Person Re-Identification
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相關文章
- 1. part-aligned系列論文：1707.Deeply-Learned Part-Aligned Representations for Person Re-Identification 論文筆記
- 2. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 論文筆記
- 3. Part-Aligned Bilinear Representations for Person Re-identification 論文筆記
- 4. ReID論文筆記1-Deeply-Learned Part-Aligned Representations for Person Re-Identification
- 5. Deeply-Learned Part-Aligned Representations for Person Re-Identification 論文筆記
- 6. 1607.CVPR-Joint Learning of Single-image and Cross-image Representations for Person ReID 論文筆記
- 7. 1705.IAN- The Individual Aggregation Network for Person Search 論文閱讀筆記
- 8. Person Re-Identification by Deep Learning Multi-Scale Representations 論文筆記
- 9. 1505.Deep Ranking for Person Re-identification via Joint Representation Learning論文筆記
- 10. 1610.Deep Learning Prototype Domains for Person Re-Identification-CUHK-SYSU-PRW 論文筆記