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An Enhanced Feature-Fusion Network for Small-Scale Pedestrian Detection on Edge Devices

An Enhanced Feature-Fusion Network for Small-Scale Pedestrian Detection on Edge Devices

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2b82010ce2454e7c895859a1bd2babe7

An Enhanced Feature-Fusion Network for Small-Scale Pedestrian Detection on Edge Devices

About this item

Full title

An Enhanced Feature-Fusion Network for Small-Scale Pedestrian Detection on Edge Devices

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2024-11, Vol.24 (22), p.7308

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Small-scale pedestrian detection is one of the challenges in general object detection. Factors such as complex backgrounds, long distances, and low-light conditions make the image features of small-scale pedestrians less distinct, further increasing the difficulty of detection. To address these challenges, an Enhanced Feature-Fusion YOLO network (E...

Alternative Titles

Full title

An Enhanced Feature-Fusion Network for Small-Scale Pedestrian Detection on Edge Devices

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_2b82010ce2454e7c895859a1bd2babe7

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2b82010ce2454e7c895859a1bd2babe7

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s24227308

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