Deep Spatial Feature Reconstruction for Partial Person Re-identification Alignment-Free Approach(nt)
Deep Spatial Feature Reconstruction for Partial Person Re-identification Alignment-Free Approach 部分人重新識別（re-id） 解決遮擋情況下的匹配 提出的方法利用完全卷積網絡（FCN）來生成特定尺寸的空間特徵圖，使得像素級特徵是一致的。爲了匹配一對不同尺寸的人物圖像，因此進一步開發了稱爲深空間特徵重建
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相關文章
- 1. Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-free Approach筆記
- 2. Deep Spatial Feature Reconstruction for Partial Person Re-identification: Freestyle Approach 閱讀筆記
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- 4. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 論文筆記
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- 7. Missing Data Reconstruction in Remote Sensing Image With a Unified Spatial–Temporal–Spectral Deep Co
- 8. Missing Data Reconstruction in Remote Sensing Image With a Unified Spatial–Temporal–Spectral Deep Co...
- 9. part-aligned系列論文：1707.Deeply-Learned Part-Aligned Representations for Person Re-Identification 論文筆記
- 10. Deep Fusion Feature Presentations for Nonaligned Person Re-Identification 論文簡要總結