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CW-YOLO: joint learning for mask wearing detection in low-light conditions

CW-YOLO: joint learning for mask wearing detection in low-light conditions

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2918721915

CW-YOLO: joint learning for mask wearing detection in low-light conditions

About this item

Full title

CW-YOLO: joint learning for mask wearing detection in low-light conditions

Publisher

Beijing: Higher Education Press

Journal title

Frontiers of Computer Science, 2023-12, Vol.17 (6), p.176710, Article 176710

Language

English

Formats

Publication information

Publisher

Beijing: Higher Education Press

Subjects

Subjects and topics

More information

Scope and Contents

Contents

Conclusion
Comprehensive comparison results on the above two datasets indicate that the detection improvements proposed in CWYOLO framework for low-light conditions are effective and can stand out among the existing excellent method. In future work, we would explore a more efficient and lightweight network architecture with group convolution to...

Alternative Titles

Full title

CW-YOLO: joint learning for mask wearing detection in low-light conditions

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2918721915

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2918721915

Other Identifiers

ISSN

2095-2228

E-ISSN

2095-2236

DOI

10.1007/s11704-023-3351-y

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