Self-Supervised Learning for Domain Adaptation on Point-Clouds

29 March 2020

Papers citing "Self-Supervised Learning for Domain Adaptation on Point-Clouds"

50 / 97 papers shown

Title
Locating and Mitigating Gradient Conflicts in Point Cloud Domain Adaptation via Saliency Map Skewness Jiaqi Tang Yinsong Xu Qingchao Chen 3DPC 22 0 0 22 Apr 2025
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Yuan Luo Rudolf Hoffmann Yan Xia Olaf Wysocki Benedikt Schwab T. H. Kolbe Daniel Cremers 31 0 0 16 Apr 2025
DG-MVP: 3D Domain Generalization via Multiple Views of Point Clouds for Classification Huantao Ren Minmin Yang Senem Velipasalar 3DPC 42 0 0 16 Apr 2025
LiDAR Remote Sensing Meets Weak Supervision: Concepts, Methods, and Perspectives Yuan Gao Shaobo Xia P. Wang Xiaohuan Xi Sheng Nie Cheng-Xiang Wang 42 0 0 24 Mar 2025
Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning Bangzhen Liu Chenxi Zheng Xuemiao Xu Cheng Xu Huaidong Zhang Shengfeng He 3DPC 32 1 0 04 Feb 2025
TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Mingxi Lei Chunwei Ma Meng Ding Yufan Zhou Ziyun Huang Jinhui Xu 74 0 0 10 Dec 2024
PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understanding Jincen Jiang Qianyu Zhou Yuhang Li Xinkui Zhao Meili Wang Lizhuang Ma Jian Chang Jian Jun Zhang Xuequan Lu TTA 32 2 0 01 Nov 2024
Point Cloud Novelty Detection Based on Latent Representations of a General Feature Extractor Shizuka Akahori S. Iizuka Ken Mawatari Kazuhiro Fukui 3DPC 27 1 0 13 Oct 2024
Curvature Diversity-Driven Deformation and Domain Alignment for Point Cloud Mengxi Wu Hao Huang Yi Fang Mohammad Rostami 24 0 0 03 Oct 2024
Bridging Domain Gap of Point Cloud Representations via Self-Supervised Geometric Augmentation Li Yu Hongchao Zhong Longkun Zou Ke Chen Pan Gao 3DPC 19 0 0 11 Sep 2024
Boosting Cross-Domain Point Classification via Distilling Relational Priors from 2D Transformers Longkun Zou Wanru Zhu Ke Chen Lihua Guo K. Guo Kui Jia Yaowei Wang 3DPC ViT 22 0 0 26 Jul 2024
CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation Hajin Shim Changhun Kim Eunho Yang TTA 24 4 0 23 Jul 2024
DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding Jincen Jiang Qianyu Zhou Yuhang Li Xuequan Lu Meili Wang Lizhuang Ma Jian Chang Jian Jun Zhang OOD 44 12 0 11 Jul 2024
M3BAT: Unsupervised Domain Adaptation for Multimodal Mobile Sensing with Multi-Branch Adversarial Training L. Meegahapola Hamza Hassoune D. Gática-Pérez 24 8 0 26 Apr 2024
Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange Yanhao Wu Tong Zhang Wei Ke Congpei Qiu Sabine Susstrunk Mathieu Salzmann 3DPC 20 2 0 11 Apr 2024
On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Study Tomoyoshi Kimura Jinyang Li Tianshi Wang Denizhan Kara Yizhuo Chen ... Maggie B. Wigness Shengzhong Liu Mani B. Srivastava Suhas Diggavi Tarek F. Abdelzaher 31 3 0 03 Apr 2024
MaskLRF: Self-supervised Pretraining via Masked Autoencoding of Local Reference Frames for Rotation-invariant 3D Point Set Analysis Takahiko Furuya 3DPC 30 2 0 01 Mar 2024
Improved Generalization of Weight Space Networks via Augmentations Aviv Shamsian Aviv Navon David W. Zhang Yan Zhang Ethan Fetaya Gal Chechik Haggai Maron 15 5 0 06 Feb 2024
Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning Idan Achituve I. Diamant Arnon Netzer Gal Chechik Ethan Fetaya UQCV 19 3 0 06 Feb 2024
Robust Analysis of Multi-Task Learning Efficiency: New Benchmarks on Light-Weighed Backbones and Effective Measurement of Multi-Task Learning Challenges by Feature Disentanglement Dayou Mao Yuhao Chen Yifan Wu Maximilian Gilles Alexander Wong AAML 28 0 0 05 Feb 2024
3D Shape Completion on Unseen Categories:A Weakly-supervised Approach Lintai Wu Junhui Hou Lin Song Yong-mei Xu 3DV 3DPC 17 1 0 19 Jan 2024
Unsupervised Pre-Training for 3D Leaf Instance Segmentation Gianmarco Roggiolani Federico Magistri Tiziano Guadagnino Jens Behley C. Stachniss 8 6 0 16 Jan 2024
De-Confusing Pseudo-Labels in Source-Free Domain Adaptation I. Diamant Amir Rosenfeld Idan Achituve Jacob Goldberger Arnon Netzer 21 1 0 03 Jan 2024
DiffPMAE: Diffusion Masked Autoencoders for Point Cloud Reconstruction Yanlong Li Chamara Madarasingha Kanchana Thilakarathna 11 1 0 06 Dec 2023
Progressive Classifier and Feature Extractor Adaptation for Unsupervised Domain Adaptation on Point Clouds Zicheng Wang Zhen Zhao Yiming Wu Luping Zhou Dong Xu 3DPC 11 2 0 27 Nov 2023
NormNet: Scale Normalization for 6D Pose Estimation in Stacked Scenarios En-Te Lin Weijie Lv Ding-Tao Huang Long Zeng 3DPC 12 0 0 15 Nov 2023
Data Augmentations in Deep Weight Spaces Aviv Shamsian David W. Zhang Aviv Navon Yan Zhang Miltiadis Kofinas ... E. Gavves Cees G. M. Snoek Ethan Fetaya Gal Chechik Haggai Maron 23 1 0 15 Nov 2023
Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation Binhui Xie Shuang Li Qingju Guo Chi Harold Liu Xinjing Cheng VLM 19 8 0 31 Oct 2023
PC-Adapter: Topology-Aware Adapter for Efficient Domain Adaption on Point Clouds with Rectified Pseudo-label Joonhyung Park Hyunjin Seo Eunho Yang 3DPC 8 10 0 29 Sep 2023
Test-Time Adaptation for Point Cloud Upsampling Using Meta-Learning A. Hatem Yiming Qian Yang Wang 3DPC 63 8 0 31 Aug 2023
Point-TTA: Test-Time Adaptation for Point Cloud Registration Using Multitask Meta-Auxiliary Learning A. Hatem Yiming Qian Yang Wang 3DPC TTA 18 17 0 31 Aug 2023
Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation Siddharth Katageri Arkadipta De Chaitanya Devaguptapu Vssv Prasad Charu Sharma Manohar Kaul 3DPC 19 4 0 27 Aug 2023
PatchContrast: Self-Supervised Pre-training for 3D Object Detection Oren Shrout Ori Nitzan Yizhak Ben-Shabat A. Tal 3DPC 36 2 0 14 Aug 2023
PatchMixer: Rethinking network design to boost generalization for 3D point cloud understanding Davide Boscaini Fabio Poiesi 3DPC 3DV 8 0 0 28 Jul 2023
Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models Ziyi Wang Xumin Yu Yongming Rao Jie Zhou Jiwen Lu DiffM 3DPC 11 18 0 27 Jul 2023
Point-Cloud Completion with Pretrained Text-to-image Diffusion Models Yoni Kasten Ohad Rahamim Gal Chechik 25 23 0 18 Jun 2023
Learning to Estimate 6DoF Pose from Limited Data: A Few-Shot, Generalizable Approach using RGB Images Pan Pan Zhiwen Fan Brandon Yushan Feng Peihao Wang Chenxing Li Zhangyang Wang 26 19 0 13 Jun 2023
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
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding Minghua Liu Ruoxi Shi Kaiming Kuang Yinhao Zhu Xuanlin Li Shizhong Han H. Cai Fatih Porikli Hao Su 3DPC 22 115 0 18 May 2023
SUG: Single-dataset Unified Generalization for 3D Point Cloud Classification Siyuan Huang Bo-Wen Zhang Botian Shi Penglei Gao Yikang Li Hongsheng Li 3DPC 3DGS 28 13 0 16 May 2023
Self-Supervised Learning for Point Clouds Data: A Survey Changyu Zeng W. Wang A. Nguyen Yutao Yue 3DPC 19 0 0 09 May 2023
Self-supervised Learning for Pre-Training 3D Point Clouds: A Survey Ben Fei Weidong Yang Liwen Liu Tian-jian Luo Rui Zhang Yixuan Li Ying He 3DPC 16 17 0 08 May 2023
SCoDA: Domain Adaptive Shape Completion for Real Scans Yushuang Wu Zizheng Yan Ce Chen Lai Wei Xiao Li Guanbin Li Yihao Li Shuguang Cui Xiaoguang Han 20 11 0 20 Apr 2023
SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation Bjoern Michele Alexandre Boulch Gilles Puy Tuan-Hung Vu Renaud Marlet Nicolas Courty 51 13 0 06 Apr 2023
MEnsA: Mix-up Ensemble Average for Unsupervised Multi Target Domain Adaptation on 3D Point Clouds Ashish Sinha Jonghyun Choi 3DPC 15 2 0 04 Apr 2023
Spatiotemporal Self-supervised Learning for Point Clouds in the Wild Yanhao Wu Tong Zhang Wei Ke Sabine Süsstrunk Mathieu Salzmann 3DPC 15 22 0 28 Mar 2023
Auxiliary Learning as an Asymmetric Bargaining Game Aviv Shamsian Aviv Navon Neta Glazer Kenji Kawaguchi Gal Chechik Ethan Fetaya 30 8 0 31 Jan 2023
Slice Transformer and Self-supervised Learning for 6DoF Localization in 3D Point Cloud Maps Muhammad Ibrahim Naveed Akhtar Saeed Anwar Michael Wise Ajmal Saeed Mian ViT 3DPC 13 3 0 21 Jan 2023
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning? Runpei Dong Zekun Qi Linfeng Zhang Junbo Zhang Jian‐Yuan Sun Zheng Ge Li Yi Kaisheng Ma ViT 3DPC 19 83 0 16 Dec 2022
SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud Yan Wang Junbo Yin Wei Li P. Frossard Ruigang Yang Jianbing Shen 3DPC 22 43 0 06 Dec 2022