Spatial Pruned Sparse Convolution for Efficient 3D Object Detection

Spatial Pruned Sparse Convolution for Efficient 3D Object Detection

28 September 2022

Xiaoqing Ye

Xiao Tan

Xiaojuan Qi

Papers citing "Spatial Pruned Sparse Convolution for Efficient 3D Object Detection"

7 / 7 papers shown

Title
Efficient 3D Perception on Multi-Sweep Point Cloud with Gumbel Spatial Pruning Jianhao Li Tianyu Sun X. Zhang Z. Wang Bailan Feng Hengshuang Zhao 3DPC 58 0 0 12 Nov 2024
Multimodal Virtual Point 3D Detection Tianwei Yin Xingyi Zhou Philipp Krahenbuhl 3DPC 138 186 0 12 Nov 2021
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection Shaoshuai Shi Li Jiang Jiajun Deng Zhe Wang Chaoxu Guo Jianping Shi Xiaogang Wang Hongsheng Li 3DPC 129 400 0 31 Jan 2021
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection Jiajun Deng Shaoshuai Shi Pei-Cian Li Wen-gang Zhou Yanyong Zhang Houqiang Li 3DPC 208 660 0 31 Dec 2020
SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud Hongwei Yi Shaoshuai Shi Mingyu Ding Jiankai Sun Kui Xu Hui Zhou Zhe Wang Sheng Li Guoping Wang 3DPC 68 50 0 13 Feb 2020
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots Qi Chen Lin Sun Zhixin Wang K. Jia Alan Yuille 3DPC 142 161 0 30 Dec 2019
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection Benjin Zhu Zhengkai Jiang Xiangxin Zhou Zeming Li Gang Yu 3DPC 141 422 0 26 Aug 2019