SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud

6 December 2022

Papers citing "SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud"

8 / 8 papers shown

Title
Pillar-Voxel Fusion Network for 3D Object Detection in Airborne Hyperspectral Point Clouds Yanze Jiang Yanfeng Gu Xian Li 3DPC 31 0 0 13 Apr 2025
COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving Jules Sanchez Jean-Emmanuel Deschaud Franccois Goulette 62 1 0 28 Jan 2025
Learning 3D Perception from Others' Predictions Jinsu Yoo Zhenyang Feng Tai-Yu Pan Yihong Sun Cheng Perng Phoo Xiangyu Chen Mark Campbell Kilian Q. Weinberger Bharath Hariharan Wei-Lun Chao 67 1 0 03 Oct 2024
PRENet: A Plane-Fit Redundancy Encoding Point Cloud Sequence Network for Real-Time 3D Action Recognition Shenglin He Xiaoyang Qu Jiguang Wan Guokuan Li Changsheng Xie Jianzong Wang 3DPC 3DH 40 1 0 11 May 2024
SGV3D:Towards Scenario Generalization for Vision-based Roadside 3D Object Detection Lei Yang Xinyu Zhang Jun Li Li-e Wang Chuan-Fang Zhang Li Ju Zhiwei Li Yang Shen 30 2 0 29 Jan 2024
GeoAdapt: Self-Supervised Test-Time Adaptation in LiDAR Place Recognition Using Geometric Priors Joshua Knights Stephen Hausler S. Sridharan Clinton Fookes Peyman Moghadam 19 10 0 09 Aug 2023
A Survey of Label-Efficient Deep Learning for 3D Point Clouds Aoran Xiao Xiaoqin Zhang Ling Shao Shijian Lu 3DPC 38 18 0 31 May 2023
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 228 660 0 31 Dec 2020