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SelfSwapper: Self-Supervised Face Swapping via Shape Agnostic Masked AutoEncoder
The majority of previous face swapping approaches have relied on the seesaw game training scheme, which often leads to the instability of the model training and results in undesired samples with blended identities due to the target identity leakage problem.
Interpretation of Electrocardiogram (ECG) Rhythm by Combined CNN and BiLSTM
In this paper, we proposed a combined network of convolutional neural network (CNN) and Recurrent Neural Network (RNN), designed for the classification of ECG heart signals for diagnostic purpose.
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