Age from faces in the deep learning revolution

V Carletti, A Greco, G Percannella… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
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 …

Deep expectation of real and apparent age from a single image without facial landmarks

R Rothe, R Timofte, L Van Gool - International Journal of Computer Vision, 2018 - Springer
In this paper we propose a deep learning solution to age estimation from a single face
image without the use of facial landmarks and introduce the IMDB-WIKI dataset, the largest …

[PDF][PDF] Age and gender prediction and validation through single user images using CNN

AMA Nada, E Alajrami, AA Al-Saqqa… - Int. J. Acad. Eng. Res …, 2020 - academia.edu
Recently, the user's gender and age range are very important for organizations to
understand their customers' needs and develop their strategies to provide more enhanced …

Heterogeneous face attribute estimation: A deep multi-task learning approach

H Han, AK Jain, F Wang, S Shan… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Face attribute estimation has many potential applications in video surveillance, face
retrieval, and social media. While a number of methods have been proposed for face …

Inclusivefacenet: Improving face attribute detection with race and gender diversity

HJ Ryu, H Adam, M Mitchell - arxiv preprint arxiv:1712.00193, 2017 - arxiv.org
We demonstrate an approach to face attribute detection that retains or improves attribute
detection accuracy across gender and race subgroups by learning demographic information …

Fine-grained age estimation in the wild with attention LSTM networks

K Zhang, N Liu, X Yuan, X Guo, C Gao… - … on Circuits and …, 2019 - ieeexplore.ieee.org
Age estimation from a single face image has been an essential task in the field of human-
computer interaction and computer vision, which has a wide range of practical application …

Dager: Deep age, gender and emotion recognition using convolutional neural network

A Dehghan, EG Ortiz, G Shu, SZ Masood - arxiv preprint arxiv:1702.04280, 2017 - arxiv.org
This paper describes the details of Sighthound's fully automated age, gender and emotion
recognition system. The backbone of our system consists of several deep convolutional …

Apparent and real age estimation in still images with deep residual regressors on appa-real database

E Agustsson, R Timofte, S Escalera… - 2017 12th IEEE …, 2017 - ieeexplore.ieee.org
After decades of research, the real (biological) age estimation from a single face image
reached maturity thanks to the availability of large public face databases and impressive …

Efficient group-n encoding and decoding for facial age estimation

Z Tan, J Wan, Z Lei, R Zhi, G Guo… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Different ages are closely related especially among the adjacent ages because aging is a
slow and extremely non-stationary process with much randomness. To explore the …

An ensemble CNN2ELM for age estimation

M Duan, K Li, K Li - IEEE Transactions on Information …, 2017 - ieeexplore.ieee.org
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 …