GPA-3D: Geometry-aware Prototype Alignment for Unsupervised Domain
Adaptive 3D Object Detection from Point Clouds

GPA-3D: Geometry-aware Prototype Alignment for Unsupervised Domain Adaptive 3D Object Detection from Point Clouds

16 August 2023

Ziyu Li

Papers citing "GPA-3D: Geometry-aware Prototype Alignment for Unsupervised Domain Adaptive 3D Object Detection from Point Clouds"

5 / 5 papers shown

Title
MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection Zhuoxiao Chen Junjie Meng Mahsa Baktashmotlagh Yonggang Zhang Zi Huang Yadan Luo 72 1 0 21 Jun 2024
A Survey of Label-Efficient Deep Learning for 3D Point Clouds Aoran Xiao Xiaoqin Zhang Ling Shao Shijian Lu 3DPC 27 18 0 31 May 2023
Uncertainty-aware Mean Teacher for Source-free Unsupervised Domain Adaptive 3D Object Detection Deepti Hegde Vishwanath A. Sindagi Velat Kilic A. Cooper Mark A. Foster Vishal M. Patel 3DPC 124 23 0 29 Sep 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 222 14,047 0 02 Dec 2016
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 149 9,316 0 28 May 2015