Engineering Hand-designed and Deeply-learned features for person Re-identification-Reference-Cited by-同舟云学术

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Engineering Hand-designed and Deeply-learned features for person Re-identification

Published:2020-02 Issue: Volume:130 Page:293-298
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Wang Fengyuan,Zhang Chi,Chen Shenghui,Ying Guode,Lv Jianhua

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference42 articles.

1. Person re-identification by local maximal occurrence representation and metric learning;Liao,2015

2. Similarity learning with spatial constraints for person re-identification;Chen,2016

3. Hierarchical gaussian descriptor for person re-identification;Matsukawa,2016

4. Person Re-identification via Recurrent Feature Aggregation;Yan,2016

5. Learning mid-level filters for person re-identification;Zhao,2014

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep learning algorithms for person re-identification: sate-of-the-art and research challenges;Multimedia Tools and Applications;2023-08-10

2. 3D-DCNN Classification of Retinal Diseases Using Artificial Intelligence Deep Patterns Generated from 3D-OCT Hyperspectral Images;2022-12-06

3. Person Re-Identification in Panoramic Views Based on Bayesian Transformers;2022 IEEE International Conference on Image Processing (ICIP);2022-10-16

4. Deep-ReID: deep features and autoencoder assisted image patching strategy for person re-identification in smart cities surveillance;Multimedia Tools and Applications;2021-01-22

5. Multiscale Reference-Aided Attentive Feature Aggregation for Person Re-Identification;IEEE Access;2021

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