Binarizing Sparse Convolutional Networks for Efficient Point Cloud
Analysis

Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis

27 March 2023

Jie Zhou

Papers citing "Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis"

6 / 6 papers shown

Title
PillarNeXt: Improving the 3D detector by introducing Voxel2Pillar feature encoding and extracting multi-scale features Xusheng Li Chengliang Wang Shumao Wang Zhuo Zeng Ji Liu 3DPC 19 0 0 16 May 2024
3D Small Object Detection with Dynamic Spatial Pruning Xiuwei Xu Zhihao Sun Ziwei Wang Hongmin Liu Jie Zhou Jiwen Lu 3DPC 8 3 0 05 May 2023
CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds Haiyang Wang Lihe Ding Shaocong Dong Shaoshuai Shi Aoxue Li Jianan Li Zhenguo Li Liwei Wang 3DPC 135 67 0 09 Oct 2022
Mix3D: Out-of-Context Data Augmentation for 3D Scenes Alexey Nekrasov Jonas Schult Or Litany Bastian Leibe Francis Engelmann 3DPC 142 154 0 05 Oct 2021
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 219 13,886 0 02 Dec 2016
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks Martin Engelcke Dushyant Rao Dominic Zeng Wang Chi Hay Tong Ingmar Posner 3DPC 190 519 0 21 Sep 2016