Global remote feature modulation end-to-end detection
Global remote feature modulation end-to-end detection
About this item
Full title
Author / Creator
Bao, XiaoAn , Yi, WenJing , Tu, XiaoMei , Zhang, Na , Zhang, QingQi , Jin, YuTing and Wu, Biao
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
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Scope and Contents
Contents
Object detector based on fully convolutional network achieves excellent performance. However, existing detection algorithms still face challenges such as low detection accuracy in dense scenes and issues with occlusion of dense targets. To address these two challenges, we propose an Global Remote Feature Modulation End-to-End (GRFME2E) detection al...
Alternative Titles
Full title
Global remote feature modulation end-to-end detection
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_5f96b86af0054f5090830174942e7da9
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5f96b86af0054f5090830174942e7da9
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-68500-w
