Abstract: Training deep neural networks (DNNs) with altered data, known as adversarial training, is essential for improving their robustness. A significant challenge emerges as the robustness ...
Abstract: Limited availability of automotive radar sensor datasets is hindering the advancement of deep learning-based radar sensing approaches for assisted and automated driving. To address this ...
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