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SwapTalk: Audio-Driven Talking Face Generation with One-Shot Customization in Latent Space
To enhance the framework's generalization capabilities for unseen identities, we incorporate identity loss during the training of the face swapping module.
Image-based Novel Fault Detection with Deep Learning Classifiers using Hierarchical Labels
One important characteristic of modern fault classification systems is the ability to flag the system when faced with previously unseen fault types.
Estimation and inference for transfer learning with high-dimensional quantile regression
We propose a transfer learning procedure in the framework of high-dimensional quantile regression models to accommodate heterogeneity and heavy tails in the source and target domains.
Posterior Regularized Bayesian Neural Network Incorporating Soft and Hard Knowledge Constraints
Neural Networks (NNs) have been widely {used in supervised learning} due to their ability to model complex nonlinear patterns, often presented in high-dimensional data such as images and text.
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