Use this url to cite publication: https://hdl.handle.net/20.500.14911/159561
The Neural Network Models Effectiveness for Face Detection and Face Recognition
Author(s)
| Author |
|---|
Smelyakov, Kirill |
Chupryna, Anastasiya |
Bohomolov, Oleksandr |
Hunko, Nikita |
Title
The Neural Network Models Effectiveness for Face Detection and Face Recognition
Is part of
2021 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 22, 2021, Vilnius, Lithuania
Published In
| Year |
|---|
2021 |
Publishing date
2021-05-20
Publisher
New York : IEEE
Extent
7 p.
Abstract (en)
The paper is devoted to estimation of the effectiveness of the use of modern convolutional neural networks for face detection and face recognition. On standard and custom datasets, learning of neural networks and comparison of the effectiveness of their functioning are carried out. An algorithm and recommendations are proposed regarding the practical application of the neural networks for detecting faces on digital photographs.
Resource Type (COAR)
TextConference outputConference proceedingsConference paper
Language
Anglų / English (en)
Country
Jungtinės Amerikos Valstijos / United States of America (US)
Description
DSpace:
Institucija / Institution: Kharkiv National University of Radio Electronics
Owning collection
ISBN
9781665449298
9781665449281
ISSN
2690-8506