A Siamese tracker based on precise fusion of prior information and multi-layer features-Reference-Cited by-同舟云学术

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A Siamese tracker based on precise fusion of prior information and multi-layer features

Published:2024-05-25 Issue: Volume: Page:6280-6285
ISSN:
Container-title:2024 36th Chinese Control and Decision Conference (CCDC)
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Author:

Cao Shengxue¹,Zhu Biao²,Li Wei³,Ma Lixiang⁴,Qi Jingjing⁵,Wan Guoyang¹,Liu Bingyou¹

Affiliation:

1. Anhui Polytechnic University,College of Electrical Engineering,Wuhu,China

2. Shenzhen Co., Ltd,Avic East China Optoelectronics,Wuhu,China

3. Huaneng Chaohu Power Generation Co., Ltd,Chaohu,China

4. Huaneng Chaohu Power Plant Co.ˈLtd.,Wuhu,China

5. Stock Co.,Ltd.,Anhui Dar Intelligent Control System,Wuhu,China

Funder

Anhui Polytechnic University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10587298/10587321/10587991.pdf?arnumber=10587991

Reference16 articles.

1. Learning to Track at 100 FPS with Deep Regression Networks

2. Deep Learning for Visual Tracking: A Comprehensive Survey

3. High Performance Visual Tracking with Siamese Region Proposal Network

4. Deformable Siamese Attention Networks for Visual Object Tracking

5. SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks

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