Name
Abstract | ||
|---|---|---|
The modern methods and architectures for image super resolution which are based on deep neural networks (DNNs) are considered. Several ways of their improvements were proposed and demonstrated. It was shown that the perception models built on MobileNet and EfficientNet families of DNNs turned out to be faster in training and have a better perception loss rate than previously used VGG family. In th... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/EUROCON52738.2021.9535575 | IEEE EUROCON 2021 - 19th International Conference on Smart Technologies |
Keywords | DocType | ISBN |
Deep learning,Training,Performance evaluation,Image resolution,Conferences,Computer architecture,Convolutional neural networks | Conference | 978-1-6654-3299-3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrii Prasolov | 1 | 0 | 0.34 |
| Sergii Stirenko | 2 | 53 | 14.13 |
| Yuri G. Gordienko | 3 | 50 | 8.93 |