Scale-Aware Domain Adaptation for Robust UAV Tracking-Reference-Cited by-同舟云学术

Scale-Aware Domain Adaptation for Robust UAV Tracking

Published:2023-06 Issue:6 Volume:8 Page:3764-3771
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Fu Changhong¹^ORCID,Li Teng²^ORCID,Ye Junjie²^ORCID,Zheng Guangze³^ORCID,Li Sihang²^ORCID,Lu Peng⁴^ORCID

Affiliation:

1. State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing, China

2. School of Mechanical Engineering, Tongji University, Shanghai, China

3. School of Computer Science, University of Hongkong, Pok Fu Lam, Hong Kong

4. School of Mechanical Engineering, University of Hongkong, Pok Fu Lam, Hong Kong

Funder

State Key Laboratory of Mechanical Transmissions

National Natural Science Foundation of China

Natural Science Foundation of Shanghai

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/10102643/10111056.pdf?arnumber=10111056

Reference34 articles.

1. Unsupervised Domain Adaptation for Nighttime Aerial Tracking

2. Siamese Anchor Proposal Network for High-Speed Aerial Tracking

3. TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild

4. CDTrans: Cross-domain transformer for unsupervised domain adaptation;xu;Int Conf Learn Representations,0

5. Attention is all you need;vaswani;Proc 31st Int Conf Neural Inf Process Syst,2017

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