Project:LMSCNet: Lightweight Multiscale 3D Semantic Completion Abstract We introduce a new approach for multiscale 3D semantic scene completion from sparse 3D occupancy grid like voxelized LiDAR scans. As opposed to the literature, we use a 2D UNet backbone with comprehensive multiscale skip connecti...
LMSCNet: Lightweight Multiscale 3D Semantic Completion. Roldão, L., de Charette, R., & Verroust-Blondet, A. International Conference on 3D Vision (3DV). 2020 - astra-vision/LMSCNet
LMSCNet:轻量级多尺度 3D 语义分割 [3DV] - 3D视觉工坊于20220111发布在抖音,已经收获了2.5万个喜欢,来抖音,记录美好生活!
You need to preprocess the data to generate lower scale labels for LMSCNet first. The preprocessing performs majority pooling over high-resolution original scale label grids (1:1) in order to obtain ground-truth data at lower resolutions (1:2, 1:4 and 1:8). It also generates validity mask...