EANTrack: An Efficient Attention Network for Visual Tracking-Reference-Cited by-同舟云学术

EANTrack: An Efficient Attention Network for Visual Tracking

Published:2023 Issue: Volume: Page:1-18
ISSN:1545-5955
Container-title:IEEE Transactions on Automation Science and Engineering
language:
Short-container-title:IEEE Trans. Automat. Sci. Eng.

Author:

Gu Fengwei¹^ORCID,Lu Jun¹,Cai Chengtao¹^ORCID,Zhu Qidan¹,Ju Zhaojie²^ORCID

Affiliation:

1. Key Laboratory of Intelligent Technology and Application of Marine Equipment, Ministry of Education, and the College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China

2. School of Computing, University of Portsmouth, Portsmouth, U.K.

Funder

Natural Science Foundation of Heilongjiang Province

National Natural Science Foundation of China

Green Intelligent Inland Ship Innovation Programme

Development Project of Ship Situational Intelligent Awareness System

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/8856/4358066/10271268.pdf?arnumber=10271268

Cited by 22 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. Visual tracking with screening region enrichment and target validation;International Journal of Machine Learning and Cybernetics;2024-09-08

2. Meta-reinforcement learning for active visual tracking about space non-cooperative object;Multimedia Tools and Applications;2024-08-31

3. LANDER: Visual Analysis of Activity and Uncertainty in Surveillance Video;IEEE Transactions on Human-Machine Systems;2024-08

4. A framework of specialized knowledge distillation for Siamese tracker on challenging attributes;Machine Vision and Applications;2024-07

5. Adaptive sparse attention-based compact transformer for object tracking;Scientific Reports;2024-05-28