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A Rotating Object Detector with Convolutional Dynamic Adaptive Matching

A Rotating Object Detector with Convolutional Dynamic Adaptive Matching

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f9b92e4f7e2b444cbead1e1a6e70a33b

A Rotating Object Detector with Convolutional Dynamic Adaptive Matching

About this item

Full title

A Rotating Object Detector with Convolutional Dynamic Adaptive Matching

Publisher

Basel: MDPI AG

Journal title

Applied sciences, 2024-01, Vol.14 (2), p.633

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Standard convolution sliding along a fixed direction in common convolutional neural networks (CNNs) is inconsistent with the direction of aerial targets, making it difficult to effectively extract features with high-aspect-ratio and arbitrary directional targets. To this end, We have fully considered the dynamic adaptability of remote sensing (RS)...

Alternative Titles

Full title

A Rotating Object Detector with Convolutional Dynamic Adaptive Matching

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_f9b92e4f7e2b444cbead1e1a6e70a33b

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f9b92e4f7e2b444cbead1e1a6e70a33b

Other Identifiers

ISSN

2076-3417

E-ISSN

2076-3417

DOI

10.3390/app14020633

How to access this item