Multi-level prediction Siamese network for real-time UAV visual tracking-Reference-Cited by-同舟云学术

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Multi-level prediction Siamese network for real-time UAV visual tracking

Published:2020-11 Issue: Volume:103 Page:104002
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Zhu Mu,Zhang Hui,Zhang Jing,Zhuo Li

Funder

National Natural Science Foundation of China

Beijing Municipal Natural Science Foundation Cooperation Beijing Education Committee

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference51 articles.

1. Fully-convolutional siamese networks for object tracking;Bertinetto,2016

2. Siamese Box Adaptive Network for Visual Tracking;Chen,2020

3. An autonomous vision-based target tracking system for rotorcraft unmanned aerial vehicles;Cheng,2017

4. ECO: efficient convolution operators for tracking;Danelljan,2017

5. Learning spatially regularized correlation filters for visual tracking;Danelljan,2015

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1. Learning to Propose and Refine for Accurate and Robust Tracking via an Alignment Convolution;Drones;2023-05-25

2. SiamPRA: An Effective Network for UAV Visual Tracking;Electronics;2023-05-24

3. Exploiting spatial and temporal context for online tracking with improved transformer;Image and Vision Computing;2023-05

4. Object Tracking Based on a Time-Varying Spatio-Temporal Regularized Correlation Filter With Aberrance Repression;IEEE Photonics Journal;2022-12

5. Siamese Transformer Network: Building an autonomous real-time target tracking system for UAV;Journal of Systems Architecture;2022-09

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