Spatial-temporal graph Transformer for object tracking against noise spoofing interference-Reference-Cited by-同舟云学术

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Spatial-temporal graph Transformer for object tracking against noise spoofing interference

Published:2024-09 Issue: Volume:678 Page:120936
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Li Ning,Sang Haiwei,Zheng Jiamin,Ma Huawei,Wang Xiaoying,Xiao Fu'an

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference49 articles.

1. Handcrafted and deep trackers: recent visual object tracking approaches and trends;Fiaz;ACM Comput. Surv.,2019

2. Siamst: Siamese network with spatio-temporal awareness for object tracking;Zhang;Inf. Sci.,2023

3. Optical flow in deep visual tracking;Vihlman,2020

4. Online similarity learning for visual tracking;Yi;Inf. Sci.,2016

5. Fully-convolutional Siamese networks for object tracking;Bertinetto,2016

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. Selective Information Flow for Transformer Tracking;Expert Systems with Applications;2025-01

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