A direct feature-space approach for 3D LiDAR anomaly segmentation achieves competitive results on existing and new mixed real-synthetic datasets.
A baseline for detect- ing misclassified and out-of-distribution examples in neural networks.ICLR, 2017
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Learning to Identify Out-of-Distribution Objects for 3D LiDAR Anomaly Segmentation
A direct feature-space approach for 3D LiDAR anomaly segmentation achieves competitive results on existing and new mixed real-synthetic datasets.