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About DeepFake Detection For Human Face Images and Videos A Survey
This document provides a survey of deepfake detection methods for human face images and videos. It discusses how deepfakes are generated using generative deep learning algorithms and have advanced to the point of being highly realistic. The survey reviews existing deepfake creation techniques, categorized into five types. It also summarizes trends in deepfake datasets and their improvements. The challenges of generating a generalized deepfake detection model and open challenges in deepfake creation and detection are analyzed. The goal is to accelerate the use of deep learning for detecting deepfakes in face images and videos.
Detailed Information
| Author: | ['mcse-f20-004'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 19 |
| Language: | English |
| Format: | |
| Price: | FREE |
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