PointSlice: Accurate and Efficient Slice-Based Representation for 3D Object Detection from Point Clouds

ArXi:2509.01487v2 Announce Type: replace 3D object detection from point clouds plays a critical role in autonomous driving. Currently, the primary methods for point cloud processing are voxel-based and pillar-based approaches. Voxel-based methods offer high accuracy through fine-grained spatial segmentation but suffer from slower inference speeds. Pillar-based methods enhance inference speed but typically lag behind voxel-based methods in detection accuracy.