Publication: Combining Deep Learning and Super-Resolution Algorithms for Deep Fake Detection
| dc.contributor.author | Ivanov, N. S. | |
| dc.contributor.author | Arzhskov, A. V. | |
| dc.contributor.author | Ivanenko, V. G. | |
| dc.contributor.author | Иваненко, Виталий Григорьевич | |
| dc.date.accessioned | 2024-11-25T17:59:16Z | |
| dc.date.available | 2024-11-25T17:59:16Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | © 2020 IEEE.Deep Fake is a technique for human image synthesis based on artificial intelligence. In this article is explored the problem of Deep Fake Video content and its detection. Has been gathered information about previous attempts, analyzed methods used by different researches and considered their actuality right now. Basing on results of the discovery was designed strategy to expose Deep Fake videos that combines previous detection methods with super-resolution algorithms. Results of the research were compared with expected, so recommendations and possible way of continuing developments were given. | |
| dc.format.extent | С. 326-328 | |
| dc.identifier.citation | Ivanov, N. S. Combining Deep Learning and Super-Resolution Algorithms for Deep Fake Detection / Ivanov, N.S., Arzhskov, A.V., Ivanenko, V.G. // Proceedings of the 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, EIConRus 2020. - 2020. - P. 326-328. - 10.1109/EIConRus49466.2020.9039498 | |
| dc.identifier.doi | 10.1109/EIConRus49466.2020.9039498 | |
| dc.identifier.uri | https://www.doi.org/10.1109/EIConRus49466.2020.9039498 | |
| dc.identifier.uri | https://www.scopus.com/record/display.uri?eid=2-s2.0-85082996708&origin=resultslist | |
| dc.identifier.uri | https://openrepository.mephi.ru/handle/123456789/20559 | |
| dc.relation.ispartof | Proceedings of the 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, EIConRus 2020 | |
| dc.title | Combining Deep Learning and Super-Resolution Algorithms for Deep Fake Detection | |
| dc.type | Conference Paper | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 2759cc78-19e9-4912-a90b-8f1516736844 | |
| relation.isAuthorOfPublication.latestForDiscovery | 2759cc78-19e9-4912-a90b-8f1516736844 | |
| relation.isOrgUnitOfPublication | 010157d0-1f75-46b2-ab5b-712e3424b4f5 | |
| relation.isOrgUnitOfPublication.latestForDiscovery | 010157d0-1f75-46b2-ab5b-712e3424b4f5 |