Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification阅读

时间 2021-01-16

标签 ReID行人重识别繁體版

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文章简介：基于局部感知注意力的自监督步态编码行人再识别方法文章出处：IJCAI2020。作者单位：中科院深圳先研院，国防科技大学等。code is available at https://github.com/Kali-Hac/SGE-LA 摘要：基于步态的行人再识别(Re-ID)在安防应用中具有重要价值，而仅使用3D骨骼数据提取有辨别力的步态特征用于Re-ID是一个新兴的开放课题。现有的方

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1. Second-order Non-local Attention Networks for Person Re-identification论文阅读
2. 1701.Re-ranking Person Re-identification with k-reciprocal Encoding--PRW 论文阅读笔记
3. Re-ranking Person Re-identification with k-reciprocal Encoding
4. Harmonious Attention Network for Person Re-Identification
5. Collaborative Attention Network for Person Re-identification
6. 《Reasoning about Entailment with Neural Attention》阅读笔记
7. Hierarchical Attention Network for Document Classification阅读笔记
8. 《Real Image Denoising with Feature Attention》阅读笔记
9. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 论文笔记
10. 《Dual Encoding U-Net for Retinal Vessel Segmentation》阅读笔记-MICCAI2019

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