Deep Spatial Feature Reconstruction for Partial Person Re-identification: Freestyle Approach（CV18）
轉載：https://blog.csdn.net/VacantField/article/details/79801925 這是CVPR 2018上的論文，論文針對局部行人再識別提出一種更高效率高準確率的方法，中文直譯深度空域特徵重建，Deep Spatial Feature 摘要： 局部行人再識別是一個很有現實意義的挑戰。所謂局部是指，在無約束環境中，行人容易被遮擋，有姿勢和視角變化，所以有時只
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相關文章
- 1. Deep Spatial Feature Reconstruction for Partial Person Re-identification: Freestyle Approach 閱讀筆記
- 2. Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-free Approach筆記
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- 4. A Discriminative Feature Learning Approach for Deep Face Recognition
- 5. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 論文筆記
- 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. 【人臉識別】A Discriminative Feature Learning Approach for Deep Face Recognition
- 10. A Discriminative Feature Learning Approach for Deep Face Recognition 論文筆記