Pregled bibliografske jedinice broj: 1210715
Age Estimation of Occluded Faces using EfficientNet-B3 CNN Model
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.).
Barcelona, Španjolska: Association for Computing Machinery (ACM), 2022. str. 95-96 doi:10.1145/3528580.3532992 (poster, međunarodna recenzija, prošireni sažetak, znanstveni)
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Naslov
Age Estimation of Occluded Faces using EfficientNet-B3 CNN Model
Autori
Barčić, Ena ; Grd, Petra ; Tomičić, Igor ; Okreša Đurić, Bogdan
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, prošireni sažetak, znanstveni
Izvornik
EICC '22: Proceedings of the 2022 European Interdisciplinary Cybersecurity Conference
/ Megías , David ; Di Pietro, Roberto ; Garcia-Alfaro, Joaquin - : Association for Computing Machinery (ACM), 2022, 95-96
ISBN
978-1-4503-9603-5
Skup
European Interdisciplinary Cybersecurity Conference (EICC '22)
Mjesto i datum
Barcelona, Španjolska, 15.06.2022. - 16.06.2022
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
datasets ; neural networks ; gaze detection ; text tagging
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Fakultet organizacije i informatike, Varaždin
