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Confidence Calibration for Object Detection and Segmentation


Mar 02, 2022
Fabian Küppers, Anselm Haselhoff, Jan Kronenberger, Jonas Schneider

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* Book chapter in: Tim Fingerscheidt, Hanno Gottschalk, Sebastian Houben (eds.): "Deep Neural Networks and Data for Automated Driving", pp. 255--282, Springer Nature Switzerland, 2022 

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Bayesian Confidence Calibration for Epistemic Uncertainty Modelling


Sep 21, 2021
Fabian Küppers, Jan Kronenberger, Jonas Schneider, Anselm Haselhoff

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* Published at 32nd IEEE Intelligent Vehicles Symposium (IV) 2021 

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Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety


Apr 29, 2021
Sebastian Houben, Stephanie Abrecht, Maram Akila, Andreas Bär, Felix Brockherde, Patrick Feifel, Tim Fingscheidt, Sujan Sai Gannamaneni, Seyed Eghbal Ghobadi, Ahmed Hammam, Anselm Haselhoff, Felix Hauser, Christian Heinzemann, Marco Hoffmann, Nikhil Kapoor, Falk Kappel, Marvin Klingner, Jan Kronenberger, Fabian Küppers, Jonas Löhdefink, Michael Mlynarski, Michael Mock, Firas Mualla, Svetlana Pavlitskaya, Maximilian Poretschkin, Alexander Pohl, Varun Ravi-Kumar, Julia Rosenzweig, Matthias Rottmann, Stefan Rüping, Timo Sämann, Jan David Schneider, Elena Schulz, Gesina Schwalbe, Joachim Sicking, Toshika Srivastava, Serin Varghese, Michael Weber, Sebastian Wirkert, Tim Wirtz, Matthias Woehrle

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* 94 pages 

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Dependency Decomposition and a Reject Option for Explainable Models


Dec 11, 2020
Jan Kronenberger, Anselm Haselhoff

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* Accepted at CVPR 2019 Workshop "DThree19: Dependable Deep Detectors" 

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Multivariate Confidence Calibration for Object Detection


Apr 28, 2020
Fabian Küppers, Jan Kronenberger, Amirhossein Shantia, Anselm Haselhoff

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* Accepted on CVPR 2020 Workshop: "2nd Workshop on Safe Artificial Intelligence for Automated Driving (SAIAD)" 

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