most citedSample, Crop, Track: Self-Supervised Mobile 3D Object Detection for Urban Driving LiDAR

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cs.CV2022★ 1 cited

Sample, Crop, Track: Self-Supervised Mobile 3D Object Detection for Urban Driving LiDAR

Sangyun Shin, Stuart Golodetz, Madhu Vankadari +3

Deep learning has led to great progress in the detection of mobile (i.e. movement-capable) objects in urban driving scenes in recent years. Supervised approaches typically require…