129 citations · 718 across the 31 of their papers we have counts for
4 papers · 2 filters
Rotated Ring, Radial and Depth Wise Separable Radial Convolutions
Wolfgang Fuhl, Enkelejda Kasneci
Simple image rotations significantly reduce the accuracy of deep neural networks. Moreover, training with all possible rotations increases the data set, which also increases the tr…
Weight and Gradient Centralization in Deep Neural Networks
Wolfgang Fuhl, Enkelejda Kasneci
Batch normalization is currently the most widely used variant of internal normalization for deep neural networks. Additional work has shown that the normalization of weights and ad…
Multi Layer Neural Networks as Replacement for Pooling Operations
Wolfgang Fuhl, Enkelejda Kasneci
Pooling operations, which can be calculated at low cost and serve as a linear or nonlinear transfer function for data reduction, are found in almost every modern neural network. Co…
Fully Convolutional Neural Networks for Raw Eye Tracking Data Segmentation, Generation, and Reconstruction
Wolfgang Fuhl, Yao Rong, Enkelejda Kasneci
In this paper, we use fully convolutional neural networks for the semantic segmentation of eye tracking data. We also use these networks for reconstruction, and in conjunction with…