TY  - CPAPER 
AU  - Jeuland, Elouan Derenee
AU  - Río Ferreras, Aitor del
AU  - Chaves, Deisy
AU  - Fidalgo Fernández, Eduardo
AU  - González Castro, Víctor
AU  - Alegre Gutiérrez, Enrique
A4  - Ingenieria de Sistemas y Automatica
DA  - 2022
SN  - 978‐84‐9749‐841‐8
UR  - https://hdl.handle.net/10612/17289
AB  - [EN] Age estimation is a valuable forensic tool for criminal investigators since it helps to identify minors or possible
offenders in Child Sexual Exploitation Materials (CSEM). Nowadays, Deep Learning methods are considered
state-of-the-art for...
LA  - eng
PB  - Universidade da Coruña, Servizo de Publicacións
KW  - Ingeniería de sistemas
KW  - Age estimation
KW  - Deep Learning
KW  - Facial occlusion
KW  - CSEM
TI  - Assessment of age estimation methods for forensic applications using non-occluded and synthetic occluded facial images
ER  -