Detection of Deepfake using computer vision and deep learning
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.
Egile Nagusiak: | Rahman, Anisur, Uschash, Ehteshamul Islam, Rahman, Faria, Adiba, Shihaba Jamal Chowdhury, Labib, Tahmidul |
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Beste egile batzuk: | Karim, Dewan Ziaul |
Formatua: | Thesis |
Hizkuntza: | English |
Argitaratua: |
Brac University
2023
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Gaiak: | |
Sarrera elektronikoa: | http://hdl.handle.net/10361/21932 |
Antzeko izenburuak
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An improved deepfake detection using deep learning
nork: Paul, Annay, et al.
Argitaratua: (2023) -
A machine learning approach to detect DeepFake videos
nork: Hassan, Md. Mahedi, et al.
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Deepfake detection using neural networks
nork: Sakib, Sadman, et al.
Argitaratua: (2021) -
Detecting Deepfake images using deep convolutional neural network
nork: Dhar, Arpita, et al.
Argitaratua: (2022) -
Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
nork: Ishrak, Gazi Hasin, et al.
Argitaratua: (2022)