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Improving Online Performance Prediction for Semantic Segmentation
In this work we address the task of observing the performance of a semantic segmentation deep neural network (DNN) during online …
Marvin Klingner, Andreas Bär, Marcel Mross, Tim Fingscheidt
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Transferable Universal Adversarial Perturbations Using Generative Models
Deep neural networks tend to be vulnerable to adversarial perturbations, which by adding to a natural image can fool a respective model …
Atiye Sadat Hashemi, Andreas Bär, Saeed Mozaffari, Tim Fingscheidt
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Focussing Learned Image Compression to Semantic Classes for V2X Applications
Cooperative perception with many sensors involved greatly improves the performance of perceptual systems in autonomous vehicles. …
Jonas Löhdefink, Andreas Bär, Nico M. Schmidt, Fabian Hüger, Peter Schlicht, Tim Fingscheidt
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Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels
While neural networks trained for semantic segmentation are essential for perception in autonomous driving, most current algorithms …
Marvin Klingner, Andreas Bär, Philipp Donn, Tim Fingscheidt
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Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation
While current approaches for neural network training often aim at improving performance, less focus is put on training methods aiming …
Marvin Klingner, Andreas Bär, Tim Fingscheidt
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Unsupervised Temporal Consistency Metric for Video Segmentation in Highly-Automated Driving
Commonly used metrics to evaluate semantic segmentation such as mean intersection over union (mIoU) do not incorporate temporal …
Serin Varghese, Yasin Bayzidi, Andreas Bär, Nikhil Kapoor, Sounak Lahiri, Jan David Schneider, Nico Schmidt, Peter Schlicht, Fabian Hüger, Tim Fingscheidt
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On Low-Bitrate Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation
The high amount of sensors required for autonomous driving poses enormous challenges on the capacity of automotive bus systems. There …
Jonas Loehdefink, Andreas Bär, Nico M. Schmidt, Fabian Hüger, Peter Schlicht, Tim Fingscheidt
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Towards Corner Case Detection for Autonomous Driving
The progress in autonomous driving is also due to the increased availability of vast amounts of training data for the underlying …
Jan-Aike Bolte, Andreas Bär, Daniel Lipinski, Tim Fingscheidt
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