Class Incremental Learning Methods for Visual Tasks
Implementation of different class-incremental methods
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Implementation of different class-incremental methods
This recurrent neural network model exploits historical data measured from machine sensors to perform inference on future usage and detect possible future faults in the machine itself. Explainability metrics targets sensor groups and are powered by the SH...
This regression model exploits historical data measured from machine sensors to perform inference on future usage and detect possible future faults in the machine itself. Explainability metrics targets sensor groups and are powered by the SHAP library.
Filter-Pruning of Lightweight Face Detectors Using a Geometric Median Criterion
This app identifies whether an audio file is synthetic or real and uses GradCAM saliency maps to visualize the key audio features that influenced its classification.
Provides a framework for learning text-driven generative paths in pre-trained GANs.
Provides a framework for anonymizing faces in public datasets using pre-trained GANs.
Provides a framework for discovering non-linear interpretable paths in pre-trained GAN latent spaces.
Provides a Neural Face Reenactment framework by leveraging the expressiveness of the StyleGAN2’s style space.