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Semantic Segmentation of Radar Detections using Convolutions on Point Clouds
State-of-the-art algorithms for environment perception based on radar scans build up on deep neural network architectures that can be costly in terms of memory and computation.
A Statistical Defense Approach for Detecting Adversarial Examples
Then, the signature is projected onto the class-specific statistic vector to infer the input's nature.
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