29 citations · 86 across the 22 of their papers we have counts for
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cs.CV2019
Detection of False Positive and False Negative Samples in Semantic Segmentation
Matthias Rottmann, Kira Maag, Robin Chan +3
In recent years, deep learning methods have outperformed other methods in image recognition. This has fostered imagination of potential application of deep learning technology incl…
cs.CV2019★ 29 cited
Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks
Kira Maag, Matthias Rottmann, Hanno Gottschalk
In the semantic segmentation of street scenes with neural networks, the reliability of predictions is of highest interest. The assessment of neural networks by means of uncertainti…