Digital Repository
Transfer Learning for Facial Forgery Detection using Attention-based Neural Networks
- Home
- →
- Dissertations & Thesis
- →
- BSc (Hons) Computer Science
- →
- 2023
- →
- View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.
| dc.contributor.author | Randika, Aruna | |
| dc.date.accessioned | 2024-06-05T09:28:10Z | |
| dc.date.available | 2024-06-05T09:28:10Z | |
| dc.date.issued | 2023 | |
| dc.identifier.citation | Randika, Aruna (2023) Transfer Learning for Facial Forgery Detection using Attention-based Neural Networks. BSc. Dissertation, Informatics Institute of Technology | en_US |
| dc.identifier.issn | 20191001 | |
| dc.identifier.uri | http://dlib.iit.ac.lk/xmlui/handle/123456789/2202 | |
| dc.description.abstract | "This paper discusses the problem of identifying artificially generated human-like faces that appear realistic due to advancements in AI technology. The challenge lies in detecting these images using specific parameters. The author proposes to automate one of these parameters to improve the identification process." | en_US |
| dc.language.iso | en | en_US |
| dc.title | Transfer Learning for Facial Forgery Detection using Attention-based Neural Networks | en_US |
| dc.type | Thesis | en_US |
