TY  - CPAPER 
AU  - Carofilis Vasco, Roberto Andrés
AU  - Chaves, Deisy
AU  - Martínez Mendoza, Alicia
AU  - Fidalgo Fernández, Eduardo
AU  - González Castro, Víctor
AU  - Alegre Gutiérrez, Enrique
A2  - Blanco Fernández, Yolanda
A2  - Fernández Veiga, Manuel
A2  - Fernández Vilas, Ana
A2  - Fuentes, José M. de
A4  - Ingenieria de Sistemas y Automatica
DA  - 2023/06
SN  - 978-84-8158-970-2
UR  - https://hdl.handle.net/10612/20673
AB  - [EN] Age estimation is a critical tool for identifying minors and potential offenders in Child Sexual Exploitation Materials (CSEM). However, deep learning methods, which are the current state-of-the-art for age estimation, have low accuracy in...
LA  - eng
PB  - Universidade de Vigo
KW  - Cibernética
KW  - Ingeniería de sistemas
KW  - Age estimation
KW  - Deep Learning
KW  - Facial occlusion
KW  - CSEM
TI  - Impact of facial occlusions in age estimation algorithms for forensic applications
ER  -