Comparative Evaluation of ShuffleNetV2 and CSPResNeXt-50 Backbone Architectures for YOLO11-Based Face Detection

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dc.contributor.authorYalçin, Aylin Şevik
dc.contributor.authorErdoǧmus, Pakize
dc.date.accessioned2026-07-01T11:36:27Z
dc.date.available2026-07-01T11:36:27Z
dc.date.issued2025
dc.departmentDüzce Üniversitesi
dc.description10th International Conference on Computer Science and Engineering, UBMK 2025 -- 17 September 2025 through 21 September 2025 -- Istanbul -- 214243
dc.description.abstractIn today's hyper-connected world of technology, there is a huge flow of data. Video data from security cameras in surveillance systems constitutes a significant portion of this data stream. Fast and accurate face detection for variopus resolutions in image data continues to be crucial in a wide range of fields, particularly in autonomous vehicles and security camera systems. Face detection studies have been conducted on various You Only Look Once (YOLO) architectures in the literature. This study redesigned the backbone and header structures based on YOLO11 model, aiming to improve face detection performance in terms of accuracy, speed, and model complexity. To this end, four different scales of ShuffleNetV2 and CSPResNeXt-50 backbones are integrated into the YOLO11 model. FPN-like headers are configured with ShuffleNetV2, and PANet-like headers are configured with CSPResNeXt. A YOLO-compatible version of the Wider Face dataset was used in the study. As a result of the comparisons, the YOLO11 + CSPResNeXt-50 architecture demonstrated the highest performance with 90% precision, 87% sensitivity, and 97.1% mAP@50. © 2025 IEEE.
dc.identifier.doi10.1109/UBMK67458.2025.11206762
dc.identifier.endpage1035
dc.identifier.issn2521-1641
dc.identifier.issue2025
dc.identifier.scopus2-s2.0-105030873929
dc.identifier.scopusqualityN/A
dc.identifier.startpage1030
dc.identifier.urihttps://doi.org/10.1109/UBMK67458.2025.11206762
dc.identifier.urihttps://hdl.handle.net/20.500.12684/23046
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofInternational Conference on Computer Science and Engineering, UBMK
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260623
dc.subjectbackbone
dc.subjectface detection
dc.subjectyolo11
dc.titleComparative Evaluation of ShuffleNetV2 and CSPResNeXt-50 Backbone Architectures for YOLO11-Based Face Detection
dc.typeConference Object

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