Age estimation via face images: a survey
Facial aging adversely impacts performance of face recognition and face verification and
authentication using facial features. This stochastic personalized inevitable process poses …
authentication using facial features. This stochastic personalized inevitable process poses …
[HTML][HTML] Artificial intelligence in forensic medicine and forensic dentistry
This review article aims to highlight the current possibilities for applying Artificial Intelligence
in modern forensic medicine and forensic dentistry and present the advantages and …
in modern forensic medicine and forensic dentistry and present the advantages and …
Masked contrastive graph representation learning for age estimation
Age estimation of face images is a crucial task with various practical applications in areas
such as video surveillance and Internet access control. While deep learning-based age …
such as video surveillance and Internet access control. While deep learning-based age …
An ensemble CNN2ELM for age estimation
Age estimation is a challenging task, because it can be easily affected by gender, race, and
other intrinsic and extrinsic attributes. At the same time, performing age estimation for a …
other intrinsic and extrinsic attributes. At the same time, performing age estimation for a …
Face image age estimation based on data augmentation and lightweight convolutional neural network
X Liu, Y Zou, H Kuang, X Ma - Symmetry, 2020 - mdpi.com
Face images contain many important biological characteristics. The research directions of
face images mainly include face age estimation, gender judgment, and facial expression …
face images mainly include face age estimation, gender judgment, and facial expression …
Improving face-based age estimation with attention-based dynamic patch fusion
With the increasing popularity of convolutional neural networks (CNNs), recent works on
face-based age estimation employ these networks as the backbone. However, state-of-the …
face-based age estimation employ these networks as the backbone. However, state-of-the …
Age from faces in the deep learning revolution
Face analysis includes a variety of specific problems as face detection, person identification,
gender and ethnicity recognition, just to name the most common ones; in the last two …
gender and ethnicity recognition, just to name the most common ones; in the last two …
Label-sensitive deep metric learning for facial age estimation
In this paper, we present a label-sensitive deep metric learning (LSDML) approach for facial
age estimation. Motivated by the fact that human age labels are chronologically correlated …
age estimation. Motivated by the fact that human age labels are chronologically correlated …
Neural networks for facial age estimation: a survey on recent advances
Soft biometrics has emerged out to be a new area of interest for the researchers due to its
growing real-world applications. It includes the estimation of demographic traits like age …
growing real-world applications. It includes the estimation of demographic traits like age …
On the use of DAG-CNN architecture for age estimation with multi-stage features fusion
Accurate facial age estimation is quite challenging, since ageing process is dependent on
gender, ethnicity, lifestyle and many other factors, therefore actual age and apparent age …
gender, ethnicity, lifestyle and many other factors, therefore actual age and apparent age …