Deep Learning for Age and Gender Recognition from Facial Images: A Comparative Study of EfficientNet Variants with Explainability

Age and gender estimation from facial images is a critical task in computer vision with wide-ranging applications in human–computer interaction, marketing, surveillance, and social media personalization. While deep learning models have achieved high accuracy, two key challenges persist: (a) finding...

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主要な著者:	George Sigalos, Ioannis Hatzilygeroudis, Isidoros Perikos
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2026-06-01
シリーズ:	Information
主題:	age estimation gender classification EfficientNet EfficientNetV2-S Grad-CAM explainable AI
オンライン･アクセス:	https://www.mdpi.com/2078-2489/17/6/567
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