RTSformer: A Robust Toroidal Transformer With Spatiotemporal Features for Visual Tracking-Reference-Cited by-同舟云学术

RTSformer: A Robust Toroidal Transformer With Spatiotemporal Features for Visual Tracking

Published:2024-04 Issue:2 Volume:54 Page:214-225
ISSN:2168-2291
Container-title:IEEE Transactions on Human-Machine Systems
language:
Short-container-title:IEEE Trans. Human-Mach. Syst.

Author:

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

Affiliation:

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

Link

http://xplorestaging.ieee.org/ielx7/6221037/10486937/10474210.pdf?arnumber=10474210

Reference68 articles.

1. Robot-Person Tracking in Uniform Appearance Scenarios: A New Dataset and Challenges

2. SiamPCF: siamese point regression with coarse-fine classification network for visual tracking

3. Hand Tracking and Gesture Recognition by Multiple Contactless Sensors: A Survey

4. Trajectory Guided Robust Visual Object Tracking With Selective Remedy

5. Efficient Visual Tracking via Hierarchical Cross-Attention Transformer

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