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Age Estimation of Occluded Faces using EfficientNet-B3 CNN Model (CROSBI ID 721969)

Prilog sa skupa u zborniku | prošireni sažetak izlaganja sa skupa | međunarodna recenzija

Barčić, Ena ; Grd, Petra ; Tomičić, Igor ; Okreša Đurić, Bogdan Age Estimation of Occluded Faces using EfficientNet-B3 CNN Model // EICC '22: Proceedings of the 2022 European Interdisciplinary Cybersecurity Conference / Megías , David ; Di Pietro, Roberto ; Garcia-Alfaro, Joaquin (ur.). Association for Computing Machinery (ACM), 2022. str. 95-96 doi: 10.1145/3528580.3532992

Podaci o odgovornosti

Barčić, Ena ; Grd, Petra ; Tomičić, Igor ; Okreša Đurić, Bogdan

engleski

Age Estimation of Occluded Faces using EfficientNet-B3 CNN Model

Age estimation is an important task in different information systems’ security areas and has received a lot of research attention. Recently, SARS-CoV-2 pandemic and mask stipulations increased the difficulty of age estimation. This research gives a preliminary analysis of how wearing face masks affects the performance of age estimation systems. The EfficientNet-B3 convolutional neural network (CNN) model is used and was tested on the UTKFace, APPA-Real and FG-NET datasets.

datasets ; neural networks ; gaze detection ; text tagging

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Podaci o prilogu

95-96.

2022.

objavljeno

10.1145/3528580.3532992

Podaci o matičnoj publikaciji

EICC '22: Proceedings of the 2022 European Interdisciplinary Cybersecurity Conference

Megías , David ; Di Pietro, Roberto ; Garcia-Alfaro, Joaquin

Association for Computing Machinery (ACM)

978-1-4503-9603-5

Podaci o skupu

European Interdisciplinary Cybersecurity Conference (EICC '22)

poster

15.06.2022-16.06.2022

Barcelona, Španjolska

Povezanost rada

Informacijske i komunikacijske znanosti, Računarstvo

Poveznice