Search Results for author:
Found 2 papers, 1 papers with code
Background-Foreground Segmentation for Interior Sensing in Automotive Industry
In this work, we compare different statistical methods from the field of image segmentation to approach the problem of background-foreground segmentation in camera based interior sensing.
Fast and Reliable Architecture Selection for Convolutional Neural Networks
The performance of a Convolutional Neural Network (CNN) depends on its hyperparameters, like the number of layers, kernel sizes, or the learning rate for example.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
