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ERASE-Net: Efficient Segmentation Networks for Automotive Radar Signals
The core of our approach is the novel detect-then-segment method for raw radar signals.
Backdoor Attacks on the DNN Interpretation System
In this paper we design a backdoor attack that alters the saliency map produced by the network for an input image only with injected trigger that is invisible to the naked eye while maintaining the prediction accuracy.
Multi-modal Experts Network for Autonomous Driving
The other is the phenomena of network overfitting to the simplest and most informative input.
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