most citedNot All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds

19 citations · 19 across the 1 of their papers we have counts for

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cs.CV2022★ 19 cited

Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds

Yifan Zhang, Qingyong Hu, Guoquan Xu +3

We study the problem of efficient object detection of 3D LiDAR point clouds. To reduce the memory and computational cost, existing point-based pipelines usually adopt task-agnostic…