74 citations · 517 across the 40 of their papers we have counts for
6 papers · 1 filter
Handwriting Classification for the Analysis of Art-Historical Documents
Christian Bartz, Hendrik Rätz, Christoph Meinel
Digitized archives contain and preserve the knowledge of generations of scholars in millions of documents. The size of these archives calls for automatic analysis since a manual an…
One Model to Reconstruct Them All: A Novel Way to Use the Stochastic Noise in StyleGAN
Christian Bartz, Joseph Bethge, Haojin Yang +1
Generative Adversarial Networks (GANs) have achieved state-of-the-art performance for several image generation and manipulation tasks. Different works have improved the limited und…
Mark-Evaluate: Assessing Language Generation using Population Estimation Methods
Gonçalo Mordido, Christoph Meinel
We propose a family of metrics to assess language generation derived from population estimation methods widely used in ecology. More specifically, we use mark-recapture and maximum…
Improving the Evaluation of Generative Models with Fuzzy Logic
Julian Niedermeier, Gonçalo Mordido, Christoph Meinel
Objective and interpretable metrics to evaluate current artificial intelligent systems are of great importance, not only to analyze the current state of such systems but also to ob…
microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination
Gonçalo Mordido, Haojin Yang, Christoph Meinel
We propose to tackle the mode collapse problem in generative adversarial networks (GANs) by using multiple discriminators and assigning a different portion of each minibatch, calle…
MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?
Joseph Bethge, Christian Bartz, Haojin Yang +2
Binary Neural Networks (BNNs) are neural networks which use binary weights and activations instead of the typical 32-bit floating point values. They have reduced model sizes and al…