Jul 5, 2021 · The most recent 3D object detectors for point clouds rely on the coarse voxel-based representation rather than the accurate point-based ...

In this paper, we propose a point-to-voxel feature learning approach to voxelize the point cloud with high-level point-wise semantic features, which enables the ...

Jul 16, 2021 · Section II introduces the related works on 3D object detection for point clouds. Then we describe the proposed P2V-RCNN in. Section III. In ...

This work proposes an attentive corner aggregation module to attentively aggregate the features of local point cloud surrounding a 3D proposal from the ...

P2V-RCNN: Point to Voxel Feature Learning for 3D Object Detection From Point Clouds · Li, Jiale · Sun, Yu · Luo, Shujie · Zhu, Ziqi · Dai, Hang · Krylov, Andrey S.

We present a novel and high-performance 3D object detection framework, named PointVoxel-RCNN (PV-RCNN), for accurate 3D object detection from point clouds.

Method. P2V-RCNN: Point to Voxel Feature Learning for 3D Object Detection from Point Clouds [P2V-RCNN] Submitted on 22 Apr. 2021 16:30 by

VoxelNet is proposed, a generic 3D detection network that unifies feature extraction and bounding box prediction into a single stage, end-to-end trainable deep ...

Missing: P2V- | Show results with:P2V-

Oct 17, 2021 · In this paper, we present an Intersection-over-Union (IoU) guided two-stage 3D object detector with a voxel-to-point decoder.