Cover Image

Robust Unsupervised Domain Adaptation for 3D Point Cloud Segmentation Under Source Adversarial Attacks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Haosheng, Chen, Junjie, Xu, Yuecong, Ding, Kemi
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Overlap-Aware Feature Learning for Robust Unsupervised Domain Adaptation for 3D Semantic Segmentation
by: Chen, Junjie, et al.
Published: (2025)

ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation
by: Li, Haosheng, et al.
Published: (2025)

Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey
by: Xu, Yuecong, et al.
Published: (2022)

Source-Free Domain Adaptation for Geospatial Point Cloud Semantic Segmentation
by: Gao, Yuan, et al.
Published: (2026)

Progressive Classifier and Feature Extractor Adaptation for Unsupervised Domain Adaptation on Point Clouds
by: Wang, Zicheng, et al.
Published: (2023)

FreePoint: Unsupervised Point Cloud Instance Segmentation
by: Zhang, Zhikai, et al.
Published: (2023)

PointSFDA: Source-free Domain Adaptation for Point Cloud Completion
by: He, Xing, et al.
Published: (2025)

Multi-Modal Assistance for Unsupervised Domain Adaptation on Point Cloud 3D Object Detection
by: Zhao, Shenao, et al.
Published: (2025)

Unsupervised 3D Point Cloud Completion via Multi-view Adversarial Learning
by: Wu, Lintai, et al.
Published: (2024)

Self-Paced Collaborative and Adversarial Network for Unsupervised Domain Adaptation
by: Zhang, Weichen, et al.
Published: (2025)

Resolving Long-Tail Ambiguity in Unsupervised 3D Point Cloud Segmentation with Language Priors
by: Wei, Siqi, et al.
Published: (2026)

CLIPoint3D: Language-Grounded Few-Shot Unsupervised 3D Point Cloud Domain Adaptation
by: Singha, Mainak, et al.
Published: (2026)

Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?
by: Yang, Jianfei, et al.
Published: (2023)

Model Adaptation: Unsupervised Domain Adaptation without Source Data
by: Li, Rui, et al.
Published: (2025)

Contrastive Adversarial Training for Unsupervised Domain Adaptation
by: Chen, Jiahong, et al.
Published: (2024)

Stealthy and Robust Backdoor Attack against 3D Point Clouds through Additional Point Features
by: Ning, Xiaoyang, et al.
Published: (2024)

Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation
by: Michele, Björn, et al.
Published: (2024)

PointDC:Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-modal Distillation and Super-Voxel Clustering
by: Chen, Zisheng, et al.
Published: (2023)

Rethinking Gradient-based Adversarial Attacks on Point Cloud Classification
by: Chen, Jun, et al.
Published: (2025)

T2VAttack: Adversarial Attack on Text-to-Video Diffusion Models
by: Li, Changzhen, et al.
Published: (2025)

Multi-View Projection for Unsupervised Domain Adaptation in 3D Semantic Segmentation
by: Caunes, Andrew, et al.
Published: (2025)

Domain-aware Category-level Geometry Learning Segmentation for 3D Point Clouds
by: He, Pei, et al.
Published: (2025)

Robust Source-Free Domain Adaptation for Medical Image Segmentation based on Curriculum Learning
by: Zhang, Ziqi, et al.
Published: (2025)

HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation
by: Zou, Tianpei, et al.
Published: (2024)

Deep Unsupervised Segmentation of Log Point Clouds
by: Zolotarev, Fedor, et al.
Published: (2025)

PanDA: Unsupervised Domain Adaptation for Multimodal 3D Panoptic Segmentation in Autonomous Driving
by: Pan, Yining, et al.
Published: (2026)

Adversarially Masked Video Consistency for Unsupervised Domain Adaptation
by: Zhu, Xiaoyu, et al.
Published: (2024)

HEAL: Learning-Free Source Free Unsupervised Domain Adaptation for Cross-Modality Medical Image Segmentation
by: Shi, Yulong, et al.
Published: (2025)

Joint-Optimized Unsupervised Adversarial Domain Adaptation in Remote Sensing Segmentation with Prompted Foundation Model
by: Lyu, Shuchang, et al.
Published: (2024)

PointGS: Semantic-Consistent Unsupervised 3D Point Cloud Segmentation with 3D Gaussian Splatting
by: Song, Yixiao, et al.
Published: (2026)

RW-Net: Enhancing Few-Shot Point Cloud Classification with a Wavelet Transform Projection-based Network
by: Zhang, Haosheng, et al.
Published: (2025)

Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation
by: Chen, Haoran, et al.
Published: (2022)

Visual Foundation Models Boost Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation
by: Xu, Jingyi, et al.
Published: (2024)

DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation
by: Wang, Yunjuan, et al.
Published: (2024)

Improving Adversarial Robustness for 3D Point Cloud Recognition at Test-Time through Purified Self-Training
by: Lin, Jinpeng, et al.
Published: (2024)

OMUDA: Omni-level Masking for Unsupervised Domain Adaptation in Semantic Segmentation
by: Ou, Yang, et al.
Published: (2025)

APC: Transferable and Efficient Adversarial Point Counterattack for Robust 3D Point Cloud Recognition
by: Jung, Geunyoung, et al.
Published: (2026)

Decomposition-based Unsupervised Domain Adaptation for Remote Sensing Image Semantic Segmentation
by: Ma, Xianping, et al.
Published: (2024)

MS3D++: Ensemble of Experts for Multi-Source Unsupervised Domain Adaptation in 3D Object Detection
by: Tsai, Darren, et al.
Published: (2023)

Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds
by: Yuan, Zhimin, et al.
Published: (2024)