A Joint Siamese Attention-Aware Network for Vehicle Object Tracking in Satellite Videos

Author:

Song Wei1ORCID,Jiao Licheng1ORCID,Liu Fang1ORCID,Liu Xu1ORCID,Li Lingling1ORCID,Yang Shuyuan1ORCID,Hou Biao1,Zhang Wenhua1ORCID

Affiliation:

1. Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi’an, China

Funder

Key Scientific Technological Innovation Research Project by Ministry of Education

National Natural Science Foundation of China Innovation Research Group Fund

State Key Program and the Foundation for Innovative Research Groups of the National Natural Science Foundation of China

Major Research Plan of the National Natural Science Foundation of China

National Natural Science Foundation of China

Higher Education Discipline Innovation Project

Program for Cheung Kong Scholars and Innovative Research Team in University

ST Innovation Project from the Chinese Ministry of Education

Key Research and Development Program in Shaanxi Province of China

National Science Basic Research Plan in Shaanxi Province of China

Scientific Research Project of Education Department in Shaanxi Province of China

fundamental research funds for the central universities

CAAI-Huawei MindSpore Open Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Reference68 articles.

1. Cross attention network for few-shot classification;hou;Proc NIPS,2019

2. Prototypical Cross-Attention networks for multiple object tracking and segmentation;ke;Proc NIPS,2021

3. CBAM: Convolutional block attention module;woo;Vision Computer,2018

4. Channel and spatial attention-based Siamese network for visual object tracking

5. SiamDA: Dual attention Siamese network for real-time visual tracking

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