10 citations · 10 across the 6 of their papers we have counts for
4 papers · 1 filter
Bg-Mix: On Using Image Backgrounds for Data Augmentation in Electron Microscopy Images
Ankur Srivastava, Joana Sarah Grah, Katharina Ladewig +1
Electron microscopy (EM) serves as a cornerstone in virology enabling the visualization of viral particles and is widely used in research, diagnostics and morphological characteriz…
GANetic Loss for Generative Adversarial Networks with a Focus on Medical Applications
Shakhnaz Akhmedova, Nils Körber
Generative adversarial networks (GANs) are machine learning models that are used to estimate the underlying statistical structure of a given dataset and as a result can be used for…
Next Generation Loss Function for Image Classification
Shakhnaz Akhmedova, Nils Körber
Neural networks are trained by minimizing a loss function that defines the discrepancy between the predicted model output and the target value. The selection of the loss function i…
Parameter-Free Average Attention Improves Convolutional Neural Network Performance (Almost) Free of Charge
Nils Körber
Visual perception is driven by the focus on relevant aspects in the surrounding world. To transfer this observation to the digital information processing of computers, attention me…