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Found 3 papers, 1 papers with code
Near out-of-distribution detection for low-resolution radar micro-Doppler signatures
We emphasize the relevance of OODD and its specific supervision requirements for the detection of a multimodal, diverse targets class among other similar radar targets and clutter in real-life critical systems.
From Unsupervised to Semi-supervised Anomaly Detection Methods for HRRP Targets
Responding to the challenge of detecting unusual radar targets in a well identified environment, innovative anomaly and novelty detection methods keep emerging in the literature.
Deep Random Projection Outlyingness for Unsupervised Anomaly Detection
The performance of the proposed neural network approach is comparable to a state-of-the-art anomaly detection method.
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