Gait-based age group classification with adaptive graph neural network

TB Aderinola, T Connie, TS Ong, ABJ Teoh… - arXiv preprint arXiv …, 2022 - arxiv.org
Deep learning techniques have recently been utilized for model-free age-associated gait
feature extraction. However, acquiring model-free gait demands accurate pre-processing …

A hybrid transformer–sequencer approach for age and gender classification from in-wild facial images

A Singh, VK Singh - Neural Computing and Applications, 2024 - Springer
The advancements in computer vision and image processing techniques have led to
emergence of new application in the domain of visual surveillance, targeted advertisement …

Face Anthropometry Aware Audio-visual Age Verification

P Korshunov, S Marcel - Proceedings of the 30th ACM International …, 2022 - dl.acm.org
Protection of minors against destructive content or illegal advertising is an important
problem, which is now under increasing societal and legislative pressure. The latest …

Facial Age Estimation Models for Embedded Systems: A Comparative Study

Z Doždor, T Hrkać, K Brkić, Z Kalafatić - IEEE access, 2023 - ieeexplore.ieee.org
Automated age estimation from face images is the process of assigning either an exact age
or a specific age range to a facial image. In this paper a comparative study of the current …

A framework for 3D tracking of frontal dynamic objects in autonomous cars

F Lotfi, HD Taghirad - Expert Systems with Applications, 2021 - Elsevier
Both recognition and 3D tracking of frontal dynamic objects are crucial problems in an
autonomous vehicle, while depth estimation as an essential issue becomes a challenging …

Information Security Field Event Detection Technology Based on SAtt‐LSTM

W Yu, X Huang, Q Yuan, M Yi, S An… - Security and …, 2021 - Wiley Online Library
Detecting information security events from multimodal data can help analyze the evolution of
events in the security field. The Tree‐LSTM network that introduces the self‐attention …

Automated paint coating using two consecutive images with CNN regression

BC Kim, JW Park, YH Kim - Korean Journal of Chemical Engineering, 2023 - Springer
Although new coating development for improved surface protection is necessary, its manual
application has been a difficult problem to solve. In this study, a convolution neural network …

Analisis Perbandingan Akurasi Pre-Trained Convolutional Neural Network Untuk Klasifikasi Kelompok Usia Pengunjung Rumah Sakit

A Sembiring, S Rahman, D Siregar… - Journal of …, 2023 - ejurnal.seminar-id.com
Abstrak− Rumah sakit tidak boleh dikunjungi oleh anak-anak. Ada dua alasan mengapa
anak-anak tidak seharusnya berkunjung ke rumah sakit yaitu dari sisi pasien dan sisi anak …

[Retracted] Channel‐Wise Correlation Calibrates Attention Module for Convolutional Neural Networks

Z Lu, Y Dong, J Li, Z Lu, P He, H Ru - Journal of Sensors, 2022 - Wiley Online Library
It is well known in image recognition that global features represent the overall and have the
ability to generalize an entire object, while local features can reflect the details, both of which …

Age recognition from facial images using convolutional neural networks

DV Pakulich, SA Yakimov, SA Alyamkin - … , Instrumentation and Data …, 2019 - Springer
A problem of age recognition from a human's face is developed with the popularization of
convolutional neural networks. They make it possible to determine the specific features of …