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Three-Stage Recursive Learning Technique for Face Mask Detection on Imbalanced Datasets

Three-Stage Recursive Learning Technique for Face Mask Detection on Imbalanced Datasets

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b80531839bbe43168e66c8ade1961b3e

Three-Stage Recursive Learning Technique for Face Mask Detection on Imbalanced Datasets

About this item

Full title

Three-Stage Recursive Learning Technique for Face Mask Detection on Imbalanced Datasets

Publisher

Basel: MDPI AG

Journal title

Mathematics (Basel), 2024-10, Vol.12 (19), p.3104

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

In response to the COVID-19 pandemic, governments worldwide have implemented mandatory face mask regulations in crowded public spaces, making the development of automatic face mask detection systems critical. To achieve robust face mask detection performance, a high-quality and comprehensive face mask dataset is required. However, due to the diffic...

Alternative Titles

Full title

Three-Stage Recursive Learning Technique for Face Mask Detection on Imbalanced Datasets

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_b80531839bbe43168e66c8ade1961b3e

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b80531839bbe43168e66c8ade1961b3e

Other Identifiers

ISSN

2227-7390

E-ISSN

2227-7390

DOI

10.3390/math12193104

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