2023
DOI: 10.20998/2522-9052.2023.3.07
|View full text |Cite
|
Sign up to set email alerts
|

Efficiency of Supplementary Outputs in Siamese Neural Networks

Artem Melnychenko,
Kostyantyn Zdor

Abstract: In the world of image analysis, effectively handling large image datasets is a complex challenge that requires using deep neural networks. Siamese neural networks, known for their twin-like structure, offer an effective solution to image comparison tasks, especially when data volume is limited. This research explores the possibility of enhancing these models by adding supplementary outputs that improve classification and help find specific data features. The article shows the results of two experiments using t… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 9 publications
0
1
0
Order By: Relevance
“…It is necessary to ensure that a separate zone can be identified around the most critical electrical machine. Some articles discuss methods for adaptive resource allocation in cloud environments [14,15], neural networks [16,17] and the Internet of things [18,19], which can be used in further research.…”
Section: Analysis Of Studies On Modeling the Propagation Of Magnetic ...mentioning
confidence: 99%
“…It is necessary to ensure that a separate zone can be identified around the most critical electrical machine. Some articles discuss methods for adaptive resource allocation in cloud environments [14,15], neural networks [16,17] and the Internet of things [18,19], which can be used in further research.…”
Section: Analysis Of Studies On Modeling the Propagation Of Magnetic ...mentioning
confidence: 99%