Deep Residual Network and Transfer Learning-based Person Re-Identification-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Deep Residual Network and Transfer Learning-based Person Re-Identification

Published:2022-11 Issue: Volume:16 Page:200137
ISSN:2667-3053
Container-title:Intelligent Systems with Applications
language:en
Short-container-title:Intelligent Systems with Applications

Author:

Gupta Arpita^ORCID,Pawade Pratik,Balakrishnan Ramadoss

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,Computer Vision and Pattern Recognition,Signal Processing,Computer Science (miscellaneous)

Reference42 articles.

1. An improved deep learning architecture for person re-identification;Ahmed,2015

2. Camera on-boarding for person re-identification using hypothesis transfer learning;Ahmed,2020

3. Deep-Person: Learning discriminative deep features for person Re-Identification;Bai;Pattern Recognition,2020

4. A survey of approaches and trends in person re-identification;Bedagkar-Gala;Image and Vision Computing,2014

5. Deep Transfer Learning for Person Re-Identification;Chen,2018

Cited by 8 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. A hybrid multilinear-linear subspace learning approach for enhanced person re-identification in camera networks;Expert Systems with Applications;2024-12

2. Improving smart home surveillance through YOLO model with transfer learning and quantization for enhanced accuracy and efficiency;PeerJ Computer Science;2024-06-13

3. Advancing Person Re-Identification: Tensor-based Feature Fusion and Multilinear Subspace Learning;2024 8th International Conference on Image and Signal Processing and their Applications (ISPA);2024-04-21

4. A Machine Learning Model for Augmenting the Media Accessibility for the Disabled People;2023 International Conference on Communication, Security and Artificial Intelligence (ICCSAI);2023-11-23

5. GF2PReID: A Novel Framework for Person Re-IDentification Using Generative Networks;2023 International Conference on Cyberworlds (CW);2023-10-03

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3