DGSN: Learning how to segment pedestrians from other datasets for occluded person re-identification-Reference-Cited by-同舟云学术

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DGSN: Learning how to segment pedestrians from other datasets for occluded person re-identification

Published:2023-12 Issue: Volume:140 Page:104844
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Liu Yujie,Wang Zhaoyong,Zhang Wenxin,Li Zongmin

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference68 articles.

1. Learning disentangled representation for robust person re-identification;Eom;Adv. Neural Inf. Proces. Syst.,2019

2. Channel augmented joint learning for visible-infrared recognition;Ye,2021

3. Ad-cluster: Augmented discriminative clustering for domain adaptive person re-identification;Zhai,2020

4. Pyramidal person re-identification via multi-loss dynamic training;Zheng,2019

5. Scalable person re-identification: A benchmark;Zheng,2015

Cited by 3 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. Mask-guided discriminative feature network for occluded person re-identification;Journal of Visual Communication and Image Representation;2024-05

2. Multi-axis interactive multidimensional attention network for vehicle re-identification;Image and Vision Computing;2024-04

3. Research on person re-identification based on multi-level attention model;Multimedia Tools and Applications;2024-03-16

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