Siamese Network with Feature Fusion for Visual Object Tracking-Reference-Cited by-同舟云学术

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Siamese Network with Feature Fusion for Visual Object Tracking

Published:2022-09 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Cloud Computing, Big Data Applications and Software Engineering (CBASE)
language:
Short-container-title:

Author:

Liu Qiongrui¹,Wang Xiyi²,Wu Wenjie³,Zhu Xilin⁴

Affiliation:

1. Xi’an Jiaotong University,School of Humanities & Social Sciences,Xi’an,China

2. University of Washington,College of Arts and Sciences,Seattle,USA

3. Shanghai University,School of Communication & Information Engineering,Shanghai,China

4. Tianjin Normal University,College of Software Engineering,Tianjin,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10092532/10092535/10092686.pdf?arnumber=10092686

Reference17 articles.

1. Selective feature connection mechanism: Concatenating multi-layer CNN features with a feature selector

2. An accurate and distraction-free vision-based structural displacement measurement method integrating Siamese network based tracker and correlation-based template matching

3. SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks;li;2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),2020

4. High Performance Visual Tracking with Siamese Region Proposal Network;bo;2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),2018

5. Learning complementary Siamese networks for real-time high-performance visual tracking

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