Výsledky vyhledávání - "Unsupervised Domain Adaptation"

Toward Pose Invariant Bionic Limb Control: A Comparative Study of Two Unsupervised Domain Adaptation Methods

Autoři: Hannius, Alexander Laezza, Rita Zbinden, Jan

Zdroj: IEEE Access. 13:177459-177466

Témata: Myoelectric control, unsupervised domain adaptation, myoelectric pattern recognition

Popis souboru: electronic

Přístupová URL adresa: https://research.chalmers.se/publication/548896
https://research.chalmers.se/publication/548896/file/548896_Fulltext.pdf

Automated assembly quality inspection by deep learning with 2D and 3D synthetic CAD data

Autoři: Zhu, Xiaomeng Mårtensson, Pär Hanson, Lars a další

Zdroj: Journal of Intelligent Manufacturing. 36(4):2567-2582

Témata: Assembly quality inspection, Computer vision, Point cloud, Synthetic data, Transfer learning, Unsupervised domain adaptation, Assembly, Data transfer, Deep learning, Inspection, Learning systems, Assembly quality, Automated assembly, Design data, Domain adaptation, Point-clouds, Quality inspection, Computer aided design, User Centred Product Design, Användarcentrerad produktdesign

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-23777
https://doi.org/10.1007/s10845-024-02375-6

MVUDA: Unsupervised Domain Adaptation for Multi-view Pedestrian Detection

Autoři: Brorsson, Erik Svensson, Lennart Bengtsson, Kristofer a další

Zdroj: Machine Vision and Applications. 37(1)

Témata: Pseudo-labeling, Multi-view object detection, Self-training, Unsupervised domain adaptation

Popis souboru: electronic

Přístupová URL adresa: https://research.chalmers.se/publication/549507
https://research.chalmers.se/publication/549507/file/549507_Fulltext.pdf

Multi-scale Feature Alignment for Continual Learning of Unlabeled Domains

Autoři: Thandiackal, Kevin Piccinelli, Luigi Gupta, Rajarsi a další

Zdroj: IEEE Transactions on Medical Imaging. 43(7):2599-2609

Témata: Computational pathology, unsupervised domain adaptation, generative adversarial networks

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-523766
https://doi.org/10.48550/arXiv.2302.01287

Unsupervised Domain Adaptation With Synchronized Self-Training for Cross- Domain Motor Imagery Recognition

Autoři: Peiyin Chen Xiaofeng Liu Chao Ma a další

Přispěvatelé: Peiyin Chen Xiaofeng Liu Chao Ma a další

Zdroj: IEEE Journal of Biomedical and Health Informatics. 29:3664-3677

Témata: Adult, Male, electroencephalogram (EEG), brain-computer interface (BCI), Electroencephalography, Signal Processing, Computer-Assisted, synchronized self training (SST), Young Adult, unsupervised domain adaptation (UDA), QC Physics, Brain-Computer Interfaces, Imagination, Humans, Female, Motor imagery (MI), QC, Algorithms, Unsupervised Machine Learning

Popis souboru: application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40031262

SF-UniDA: Unlocking abdominal multi-organ segmentation via source-free universal domain adaptation

Autoři: Ahmed El-Sayed Magdy A. Ahmed Marwan Torki

Zdroj: Alexandria Engineering Journal, Vol 133, Iss , Pp 104-116 (2025)

Témata: Universal adaptation, Source-free unsupervised domain adaptation, Abdominal multi-organ segmentation, Engineering (General). Civil engineering (General), TA1-2040

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1110016825011317; https://doaj.org/toc/1110-0168

Přístupová URL adresa: https://doaj.org/article/28f1440df6c84010ba283e00ccab0782

Unsupervised Person Re-Identification for Teacher—Student Networks Incorporating Attention Mechanism

Autoři: CHEN Yumin, CHE Jin, WU Jinman

Zdroj: Jisuanji gongcheng, Vol 51, Iss 11, Pp 304-316 (2025)

Témata: person re-identification (re-id), unsupervised domain adaptation (uda), pseudo-label noise, attention mechanism, teacher—student network, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Popis souboru: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/jsjgc-51-11-304.pdf; https://doaj.org/toc/1000-3428

Přístupová URL adresa: https://doaj.org/article/c566f2a582f0486a944ef8880b19eddc

Unsupervised learning enabled label-free single-pixel imaging for resilient information transmission through unknown dynamic scattering media

Autoři: Fujie Li Haoyu Zhang Zhilan Lu a další

Zdroj: Opto-Electronic Advances, Vol 8, Iss 10, Pp 1-13 (2025)

Témata: scattering media imaging, single-pixel imaging, unsupervised learning, unsupervised domain adaptation, deep learning, Optics. Light, QC350-467

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2096-4579

Přístupová URL adresa: https://doaj.org/article/40702a97e3844692bbac88624b5c3698

Layer-wise model merging for unsupervised domain adaptation in segmentation tasks

Autoři: Alcover Couso, Roberto San Miguel Avedillo, Juan Carlos Escudero Viñolo, Marcos a další

Přispěvatelé: Alcover Couso, Roberto San Miguel Avedillo, Juan Carlos Escudero Viñolo, Marcos a další

Zdroj: Biblos-e Archivo. Repositorio Institucional de la UAM
Universidad Autónoma de Madrid

Témata: Synthetic Data, Informática, FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Model Merging, Computer Science - Computer Vision and Pattern Recognition, Unsupervised Domain Adaptation, Semantic Segmentation, Panoptic Segmentation, Computer Science - Multimedia, Multimedia (cs.MM)

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2409.15813
http://hdl.handle.net/10486/718572
https://hdl.handle.net/10486/718572
https://doi.org/10.1007/s00371-025-03843-7

360SFUDA++: Towards Source-Free UDA for Panoramic Segmentation by Learning Reliable Category Prototypes

Autoři: Xu Zheng Peng Yuan Zhou Athanasios V. Vasilakos a další

Zdroj: Zheng, X, Zhou, P Y, Vasilakos, A V & Wang, L 2024, '360SFUDA++ : Towards Source-free UDA for Panoramic Segmentation by Learning Reliable Category Prototypes', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 47, no. 2, pp. 1190-1204. https://doi.org/10.1109/TPAMI.2024.3490619

Témata: FOS: Computer and information sciences, Source-Free Unsupervised Domain Adaptation, Panoramic Semantic Segmentation, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39495698
http://arxiv.org/abs/2404.16501
https://pure.au.dk/portal/en/publications/6f6aee13-4026-458d-ae14-57eadc972f46
https://doi.org/10.1109/TPAMI.2024.3490619
http://www.scopus.com/inward/record.url?scp=85200267980&partnerID=8YFLogxK

Cross-domain autonomous driving visual segmentation based on enhanced target data learning

Autoři: Chaoyu Rao Xiaoyong Fang Yunzhe Zhang a další

Zdroj: ICT Express, Vol 11, Iss 1, Pp 53-58 (2025)

Témata: Unsupervised domain adaptation, Self-training, Autonomous driving, Information technology, T58.5-58.64, Semantic segmentation

Přístupová URL adresa: https://doaj.org/article/8e43f6e98de94e1288805696a4c745e9

Unsupervised SAR Fine-Grained Ship Classification via Spherical Metric Refinement With Deep Subdomain Adaptation

Autoři: Zhichao Han Haitao Lang

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 16003-16019 (2025)

Témata: Pseudolabel, Ocean engineering, unsupervised domain adaptation (UDA), ship classification, spherical space, QC801-809, Geophysics. Cosmic physics, synthetic aperture radar (SAR), transfer learning, TC1501-1800

Přístupová URL adresa: https://doaj.org/article/9f820cf7fa9140a1b58f55b662c77216

Fine-Grained Style Alignment and Class Balance for Unsupervised Domain Adaptation in Remote Sensing Image Segmentation

Autoři: Yousheng Xu Weiji Wang Wei Yao a další

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 16663-16679 (2025)

Témata: Ocean engineering, high-resolution (HR) remote sensing image (RSI) classification, SelfAdaIN, unsupervised domain adaptation (UDA), QC801-809, style transfer, Geophysics. Cosmic physics, Class balance loss (CBL), TC1501-1800

Přístupová URL adresa: https://doaj.org/article/e133de344de44c92b14e0a6c4fef5b72

Robust Representation Learning Based on Deep Mutual Information for Scene Classification Against Adversarial Perturbations

Autoři: Linjuan Li Gang Xie Haoxue Zhang a další

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 11963-11978 (2025)

Témata: Ocean engineering, scene classification, unsupervised domain adaptation (UDA), QC801-809, Adversarial examples, remote sensing (RS) images, deep neural networks (DNNs), Geophysics. Cosmic physics, deep mutual information (MI), TC1501-1800

Přístupová URL adresa: https://doaj.org/article/247d1907134e4cca9b3c246ae8dd185b

Mitigating Catastrophic Forgetting in Cross-Domain Fault Diagnosis: An Unsupervised Class Incremental Learning Network Approach

Autoři: Yifan Zhan Rui Yang Yong Zhang a další

Zdroj: IEEE Transactions on Instrumentation and Measurement. 74:1-14

Témata: unsupervised transfer learning, catastrophic forgetting, class incremental learning, unsupervised domain adaptation, fault diagnosis

Popis souboru: Print-Electronic

Přístupová URL adresa: https://bura.brunel.ac.uk/handle/2438/30320

Multi-View Prototypical Transport for Unsupervised Domain Adaptation

Autoři: Sunhyeok Lee Dae-Shik Kim

Zdroj: IEEE Access, Vol 13, Pp 8482-8494 (2025)

Témata: optimal transport, Multi-view learning, unsupervised domain adaptation, Electrical engineering. Electronics. Nuclear engineering, prototypical learning, TK1-9971

Přístupová URL adresa: https://doaj.org/article/548dd03ddbda4c4d92542af3b9101998

TPDTNet: Two-Phase Distillation Training for Visible-to-Infrared Unsupervised Domain Adaptive Object Detection

Autoři: Siyu Wang Xiaogang Yang Ruitao Lu a další

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 4255-4272 (2025)

Témata: Ocean engineering, Distillation training, remote sensing, unsupervised domain adaptation (UDA), QC801-809, Geophysics. Cosmic physics, object detection, TC1501-1800

Přístupová URL adresa: https://doaj.org/article/f7f2485f95d44ddfabeb458dbf1b6acf

Region and Sample Level Domain Adaptation for Unsupervised Infrared Target Detection in Aerial Remote Sensing Images

Autoři: Lianmeng Jiao Haifeng Wei Quan Pan

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 11289-11306 (2025)

Témata: Ocean engineering, unsupervised domain adaptation (UDA), Aerial remote sensing image, infrared target detection, QC801-809, Geophysics. Cosmic physics, negative transfer, TC1501-1800

Přístupová URL adresa: https://doaj.org/article/24d4fbf6d20f401ea4773d01421f06f2

Toward Non-I.I.D. in Load Disaggregation: An Unsupervised Domain Adaptation Framework for Heterogeneous Energy Consumption Sectors

Autoři: Hui Yin Kaile Zhou Zhe Chen a další

Zdroj: Yin, H, Zhou, K, Chen, Z & Yang, S 2025, 'Toward Non-I.I.D. in Load Disaggregation : An Unsupervised Domain Adaptation Framework for Heterogeneous Energy Consumption Sectors', IEEE Transactions on Industrial Informatics, vol. 21, no. 1, pp. 663-672. https://doi.org/10.1109/TII.2024.3456858

Témata: Adversarial feature augmentation, nonindependent and identically distributed (Non-I.I.D.), load disaggregation, unsupervised domain adaptation, nonintrusive load monitoring (NILM)

Unsupervised Domain Adaptation for VHR Urban Scene Segmentation via Prompted Foundation Model-Based Hybrid Training Joint-Optimized Network

Autoři: Shuchang Lyu Qi Zhao Yaxuan Sun a další

Zdroj: IEEE Transactions on Geoscience and Remote Sensing. 63:1-17

Témata: Unsupervised domain adaptation, Hybrid training, Semantic segmentation, Prompted foundation model, Ver-high-resolution images, Urban scene

Přístupová URL adresa: https://rgu-repository.worktribe.com/output/2834334
https://rgu-repository.worktribe.com/output/2801786