A simple box-count inconsistency score on mirrored LiDAR point clouds selects training samples that match random sampling's mAP with roughly half the labels.
Consistency-based semi-supervised active learning: Towards mini- mizing labeling cost,
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Inconsistency-based Active Learning for LiDAR Object Detection
A simple box-count inconsistency score on mirrored LiDAR point clouds selects training samples that match random sampling's mAP with roughly half the labels.