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Weakly Supervised 3D Object Detection from Lidar Point Cloud

By Qinghao Meng and others
It is laborious to manually label point cloud data for training high-quality 3D object detectors. This work proposes a weakly supervised approach for 3D object detection, only requiring a small set of weakly annotated scenes, associated with a few precisely labeled object instances. This is achieved by a two-stage architecture... Show more
July 23, 2020
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Weakly Supervised 3D Object Detection from Lidar Point Cloud
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