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Macaron Attention: The Local Squeezing Global Attention Mechanism in Tracking Tasks

Macaron Attention: The Local Squeezing Global Attention Mechanism in Tracking Tasks

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_40d1c4269bad4a899ee9b22bd45b3e47

Macaron Attention: The Local Squeezing Global Attention Mechanism in Tracking Tasks

About this item

Full title

Macaron Attention: The Local Squeezing Global Attention Mechanism in Tracking Tasks

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2024-08, Vol.16 (16), p.2896

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The Unmanned Aerial Vehicle (UAV) tracking tasks find extensive utility across various applications. However, current Transformer-based trackers are generally tailored for diverse scenarios and lack specific designs for UAV applications. Moreover, due to the complexity of training in tracking tasks, existing models strive to improve tracking perfor...

Alternative Titles

Full title

Macaron Attention: The Local Squeezing Global Attention Mechanism in Tracking Tasks

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_40d1c4269bad4a899ee9b22bd45b3e47

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_40d1c4269bad4a899ee9b22bd45b3e47

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs16162896

How to access this item