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Found 3 papers, 2 papers with code
PatchContrast: Self-Supervised Pre-training for 3D Object Detection
Accurately detecting objects in the environment is a key challenge for autonomous vehicles.
3DInAction: Understanding Human Actions in 3D Point Clouds
We propose a novel method for 3D point cloud action recognition.
GraVoS: Voxel Selection for 3D Point-Cloud Detection
3D object detection within large 3D scenes is challenging not only due to the sparsity and irregularity of 3D point clouds, but also due to both the extreme foreground-background scene imbalance and class imbalance.
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