Best Paper Award

An Unsupervised Temporal Consistency (TC) Loss To Improve the Performance of Semantic Segmentation Networks
Deep neural networks (DNNs) for highly automated driving are often trained on a large and diverse dataset, and evaluation metrics are …
Serin Varghese, Sharat Gujamagadi, Marvin Klingner, Nikhil Kapoor, Andreas Bär, Jan David Schneider, Kira Maag, Peter Schlicht, Fabian Hüger, Tim Fingscheidt
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Robust Semantic Segmentation by Redundant Networks With a Layer-Specific Loss Contribution and Majority Vote
The lack of robustness shown by deep neural networks (DNNs) questions their deployment in safety-critical tasks, such as autonomous …
Andreas Bär, Marvin Klingner, Serin Varghese, Fabian Hüger, Peter Schlicht, Tim Fingscheidt
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