Deep Spatial Feature Reconstruction for Partial Person Re-identification Alignment-Free Approach(nt)

时间 2021-01-12

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原文原文链接

Deep Spatial Feature Reconstruction for Partial Person Re-identification Alignment-Free Approach 部分人重新识别（re-id）解决遮挡情况下的匹配提出的方法利用完全卷积网络（FCN）来生成特定尺寸的空间特征图，使得像素级特征是一致的。为了匹配一对不同尺寸的人物图像，因此进一步开发了称为深空间特征重建

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1. Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-free Approach笔记
2. Deep Spatial Feature Reconstruction for Partial Person Re-identification: Freestyle Approach 阅读笔记
3. Deep Spatial Feature Reconstruction for Partial Person Re-identification: Freestyle Approach（CV18）
4. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 论文笔记
5. Re-ID: Learning Deep Feature Representation with Domain Guided Dropout for Person Re-identifiation
6. 【Person Re-ID】Deep-Person: Learning Discriminative Deep Features for Person Re-Identification
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9. part-aligned系列论文：1707.Deeply-Learned Part-Aligned Representations for Person Re-Identification 论文笔记
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1. Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-free Approach笔记
2. Deep Spatial Feature Reconstruction for Partial Person Re-identification: Freestyle Approach 阅读笔记
3. Deep Spatial Feature Reconstruction for Partial Person Re-identification: Freestyle Approach（CV18）
4. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 论文笔记
5. Re-ID: Learning Deep Feature Representation with Domain Guided Dropout for Person Re-identifiation
6. 【Person Re-ID】Deep-Person: Learning Discriminative Deep Features for Person Re-Identification
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系列论文：1707.Deeply-Learned Part-Aligned Representations for Person Re-Identification 论文笔记
10. Deep Fusion Feature Presentations for Nonaligned Person Re-Identification 论文简要总结

>>更多相关文章<<