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08/19/2023
Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation
Within the context of autonomous driving, encountering unknown objects b...
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09/27/2021
Improving Uncertainty of Deep Learning-based Object Classification on Radar Spectra using Label Smoothing
Object type classification for automotive radar has greatly improved wit...
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08/12/2021
DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities
Common deep neural networks (DNNs) for image classification have been sh...
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06/23/2020
Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning
Post-hoc calibration is a common approach for providing high-quality con...
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12/16/2019