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Marine ship instance segmentation by deep neural networks using a global and local attention (GALA)...

Marine ship instance segmentation by deep neural networks using a global and local attention (GALA)...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2779730059

Marine ship instance segmentation by deep neural networks using a global and local attention (GALA) mechanism

About this item

Full title

Marine ship instance segmentation by deep neural networks using a global and local attention (GALA) mechanism

Publisher

United States: Public Library of Science

Journal title

PloS one, 2023-02, Vol.18 (2), p.e0279248-e0279248

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Marine ships are the transport vehicle in the ocean and instance segmentation of marine ships is an accurate and efficient analysis approach to achieve a quantitative understanding of marine ships, for example, their relative locations to other ships or obstacles. This relative spatial information is crucial for developing unmanned ships to avoid c...

Alternative Titles

Full title

Marine ship instance segmentation by deep neural networks using a global and local attention (GALA) mechanism

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2779730059

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2779730059

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0279248

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