82 citations · 106 across the 12 of their papers we have counts for
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cs.CV2016★ 2 cited
Optimistic and Pessimistic Neural Networks for Scene and Object Recognition
Rene Grzeszick, Sebastian Sudholt, Gernot A. Fink
In this paper the application of uncertainty modeling to convolutional neural networks is evaluated. A novel method for adjusting the network's predictions based on uncertainty inf…
cs.CV2016
Zero-shot object prediction using semantic scene knowledge
Rene Grzeszick, Gernot A. Fink
This work focuses on the semantic relations between scenes and objects for visual object recognition. Semantic knowledge can be a powerful source of information especially in scena…
cs.CV2016
PHOCNet: A Deep Convolutional Neural Network for Word Spotting in Handwritten Documents
Sebastian Sudholt, Gernot A. Fink
In recent years, deep convolutional neural networks have achieved state of the art performance in various computer vision task such as classification, detection or segmentation. Du…