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Attending Generalizability in Course of Deep Fake Detection by Exploring Multi-task Learning
We explore various ways of using multi-task and contrastive learning to the problem of deepfake detection to improve generalizability.
Pranav Balaji, Abhijit Das, Srijan Das, Antitza Dantcheva
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Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders
This paper shows that jointly optimizing ViTs for the primary task and a Self-Supervised Auxiliary Task is surprisingly beneficial when the amount of training data is limited.
Srijan Das, Tanmay Jain, Dominick Reilly, Pranav Balaji, Soumyajit Karmakar, Shyam Marjit, Xiang Li, Abhijit Das, Michael S Ryoo
arXiv