1 citations · 2 across the 5 of their papers we have counts for
4 papers · 1 filter
Arguments for the Unsuitability of Convolutional Neural Networks for Non--Local Tasks
Sebastian Stabinger, David Peer, Antonio Rodríguez-Sánchez
Convolutional neural networks have established themselves over the past years as the state of the art method for image classification, and for many datasets, they even surpass huma…
Evaluating CNNs on the Gestalt Principle of Closure
Gregor Ehrensperger, Sebastian Stabinger, Antonio Rodríguez Sánchez
Deep convolutional neural networks (CNNs) are widely known for their outstanding performance in classification and regression tasks over high-dimensional data. This made them a pop…
Guided Labeling using Convolutional Neural Networks
Sebastian Stabinger, Antonio Rodriguez-Sanchez
Over the last couple of years, deep learning and especially convolutional neural networks have become one of the work horses of computer vision. One limiting factor for the applica…
Evaluation of Deep Learning on an Abstract Image Classification Dataset
Sebastian Stabinger, Antonio Rodriguez-Sanchez
Convolutional Neural Networks have become state of the art methods for image classification over the last couple of years. By now they perform better than human subjects on many of…