Deep Spatial Feature Reconstruction for Partial Person Re-identification: Freestyle Approach（CV18）
转载：https://blog.csdn.net/VacantField/article/details/79801925 这是CVPR 2018上的论文，论文针对局部行人再识别提出一种更高效率高准确率的方法，中文直译深度空域特征重建，Deep Spatial Feature 摘要： 局部行人再识别是一个很有现实意义的挑战。所谓局部是指，在无约束环境中，行人容易被遮挡，有姿势和视角变化，所以有时只
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相关文章
- 1. Deep Spatial Feature Reconstruction for Partial Person Re-identification: Freestyle Approach 阅读笔记
- 2. Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-free Approach笔记
- 3. Deep Spatial Feature Reconstruction for Partial Person Re-identification Alignment-Free Approach(nt)
- 4. A Discriminative Feature Learning Approach for Deep Face Recognition
- 5. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 论文笔记
- 6. Re-ID: Learning Deep Feature Representation with Domain Guided Dropout for Person Re-identifiation
- 7. 【Person Re-ID】Deep-Person: Learning Discriminative Deep Features for Person Re-Identification
- 8. STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification
- 9. 【人脸识别】A Discriminative Feature Learning Approach for Deep Face Recognition
- 10. A Discriminative Feature Learning Approach for Deep Face Recognition 论文笔记