Label noise and ambiguities between similar classes are challenging prob...
Optimizing neural networks with noisy labels is a challenging task,
espe...
Deep convolutional neural networks require large amounts of labeled data...
We present Neural Random Forest Imitation - a novel approach for transfo...
In recent years, data-driven methods have shown great success for extrac...