Self-similarity guided probabilistic embedding matching based on transformer for occluded person re-identification-Reference-Cited by-同舟云学术

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Self-similarity guided probabilistic embedding matching based on transformer for occluded person re-identification

Published:2024-03 Issue: Volume:237 Page:121504
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Pang Yunxiao^ORCID,Zhang Huaxiang^ORCID,Zhu Lei^ORCID,Liu Dongmei^ORCID,Liu Li^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference61 articles.

1. End-to-end object detection with transformers;Carion,2020

2. E2net: Excitative-expansile learning for weakly supervised object localization;Chen,2021

3. Occlude them all: Occlusion-aware attention network for occluded person Re-ID;Chen,2021

4. Pre-trained image processing transformer;Chen,2021

5. Deep attention aware feature learning for person re-identification;Chen;Pattern Recognition,2022

Cited by 1 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. Multi-view similarity aggregation and multi-level gap optimization for unsupervised person re-identification;Expert Systems with Applications;2024-12

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