H3DNet: 3D Object Detection Using Hybrid Geometric Primitives Created byZaiwei Zhang,Haitao Yang,Bo SunandQixing Huang. Introduction This repository is code release for our paper (arXiv reporthere). We introduce H3DNet, which takes a colorless 3D point cloud as input and outputs a collection ...
We introduce H3DNet, which takes a colorless 3D point cloud as input and outputs a collection of oriented object bounding boxes (or BB) and their semantic labels. The critical idea of H3DNet is to predict a hybrid set of geometric primitives, i.e., BB centers, BB face centers, and BB...
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The architecture of hNet is illustrated in Fig. 3, where an “h” shape can be seen. The encoder and decoder paths are basically the autoencoder-based backbone, which is the core structure of the well-known UNet (Ronneberger et al., 2015), as shown in Fig. 4. Like the popular ...