128 citations · 254 across the 6 of their papers we have counts for
3 papers · 1 filter
Enhancing Traffic Scene Predictions with Generative Adversarial Networks
Peter König, Sandra Aigner, Marco Körner
We present a new two-stage pipeline for predicting frames of traffic scenes where relevant objects can still reliably be detected. Using a recent video prediction network, we first…
Further advantages of data augmentation on convolutional neural networks
Alex Hernández-García, Peter König
Data augmentation is a popular technique largely used to enhance the training of convolutional neural networks. Although many of its benefits are well known by deep learning resear…
Learning robust visual representations using data augmentation invariance
Alex Hernández-García, Peter König, Tim C. Kietzmann
Deep convolutional neural networks trained for image object categorization have shown remarkable similarities with representations found across the primate ventral visual stream. Y…