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Found 4 papers, 1 papers with code
Drift Detection: Introducing Gaussian Split Detector
This paper targets at detecting drift when the ground truth is unknown during the detection phase.
White Box Methods for Explanations of Convolutional Neural Networks in Image Classification Tasks
Given the task of image classification and a trained CNN, this work aims to provide a comprehensive and detailed overview of a set of methods that can be used to create explanation maps for a particular image, that assign an importance score to each pixel of the image based on its contribution to the decision of the network.
Features Understanding in 3D CNNs for Actions Recognition in Video
Features visualization is performed at the RGB and Optical flow branches of the network.
Move-to-Data: A new Continual Learning approach with Deep CNNs, Application for image-class recognition
In many real-life tasks of application of supervised learning approaches, all the training data are not available at the same time.
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