A Scoping Review of Literature on Deep Learning Techniques for Face Recognition
Deep learning has led to the creation of facial recognition technologies using convolutional neural networks (CNNs). This preliminary study explores the application of CNN architectures in face recognition to gain a deeper understanding of the challenges and methodologies in the field. The study sys...
Saved in:
Main Authors: | Andisani Nemavhola, Serestina Viriri, Colin Chibaya |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2025-01-01
|
Series: | Human Behavior and Emerging Technologies |
Online Access: | http://dx.doi.org/10.1155/hbe2/5979728 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Deeply Learned Classifiers for Age and Gender Predictions of Unfiltered Faces
by: Olatunbosun Agbo-Ajala, et al.
Published: (2020-01-01) -
Masked and Unmasked Face Recognition Model Using Deep Learning Techniques. A case of Black Race.
by: Mabirizi, Vicent, et al.
Published: (2023) -
Masked and unmasked Face Recognition Model Using Deep Learning Techniques. A case of Black Race.
by: Mabiriz,I, Vicent, et al.
Published: (2024) -
Face Recognition using Deep Learning and TensorFlow framework
by: Makrem Beldi
Published: (2023-12-01) -
Face recognition under unconstrained based on LBP and deep learning
by: Shu-fen LIANG, et al.
Published: (2014-06-01)