Structure Information is the Key: Self-Attention RoI Feature Extractor in 3D Object Detection

1 November 2021

Papers citing "Structure Information is the Key: Self-Attention RoI Feature Extractor in 3D Object Detection"

6 / 6 papers shown

Title
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 135 400 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 216 660 0 31 Dec 2020
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud Weijing Shi Ragunathan R. Rajkumar 3DPC 139 731 0 02 Mar 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 156 167 0 30 Dec 2019
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 244 1,279 0 06 Mar 2017
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