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DTSTART;TZID=Europe/Berlin:20200303T160000
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DTSTAMP:20200207T084612Z
CREATED:20200205T095641Z
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UID:3341-1583251200-1583258400@alop.uni-trier.de
SUMMARY:ALOP Colloquium with Hanno Gottschalk
DESCRIPTION:On Tuesday\, March 3 2020 at 16:00 c.t.  Prof. Dr. Hanno Gottschalk  \, Bergische Universität Wuppertal  will present his recent work. entitled \nFalse Positives and False Negatives in Semantic Segmentation: Toward the assurance of the perception with deep CNN in atonomous driving \nAbstract: \nThe application of machine learning technology in safety relevant environments poses several challenges regarding their reliability. This especially applies to modern deep learning architectures\, which pretty much resemble a black box. In this talk\, measures of uncertainty from basic classification algorithms to current fully convolutional networks for semantic segmentation are discussed. We present known and new uncertainty measures and use them in meta classification: An algorithmic decision\, if a prediction by the AI is correct of not\, without access to the ground truth data. For the case of semantic segmentation\, we use this for the instance based detection of false positives. Techniques for the detection of false negatives are discussed as well. Both techniques can be fused for a more reliable detection of underrepresented classes\, like pedestrians in street scenes.  \n  \nThe presentation will take place in HS 9. \nPlease join us for coffee at 15:45 in E10.
URL:https://alop.uni-trier.de/event/alop-colloquium-with-hanno-gottschalk/
LOCATION:Trier University E Building\, Universitätsring 15\, Trier\, 54296\, Germany
CATEGORIES:Colloquium
ORGANIZER;CN="RTG ALOP at Trier University":MAILTO:ALOP@uni-trier.de
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