Unsupervised Domain Adaptation

Changes in sensor height and viewpoint alter object-level point distributions, making cross-platform LiDAR unsupervised domain adaptation (UDA) difficult. Self-training uses labeled source scans and unlabeled target scan…

Unsupervised Domain Adaptation 3D Object Detection

Unsupervised Adaptation of 3D CT Foundation Models for 3D CBCT Segmentation

2026-08-27 · Gauthier Miralles, Loic Le Folgoc, Vincent Jugnon, Pietro Gori arxiv

Accurate 3D segmentation of cone-beam CT (CBCT) is critical for interventional and radiation therapy applications, yet it remains limited by two compounding challenges: the scarcity of annotated CBCT data and the large d…

Unsupervised Domain Adaptation Liver Segmentation

Against Political Polarization: A Unified Framework for Tracing Evolving Political Ideologies on Social Media

2026-08-18 · Yijie Xu, Chao Wang, Hui Xiong arxiv

The rapid growth of social media has greatly influenced political discourse, highlighting the need to understand individual political ideologies and their temporal dynamics. This task faces challenges such as data scarci…

Unsupervised Domain Adaptation Style Transfer

Ultra: Unsupervised Cross-Task Optimization for Reliable Restoration Segmentation Collaboration under Adverse Weather

2026-08-17 · Shiqin Wang, Zhiqian Li, Haoyuan Du, Junming Chen 외 arxiv

Unsupervised Domain Adaptation for Adverse Weather Semantic Segmentation (UDA-ASS) aims to transfer semantic knowledge from labeled normal-weather images to unlabeled adverse environments. Existing approaches implicitly …

Unsupervised Domain Adaptation Semantic Segmentation Object Detection

YOLOv14: Adaptive Real-Time Object Detection for Diverse Imaging Conditions

2026-08-05 · Jian Lu, Jinling Jia, Jone Yawl, Chenbin Zhang arxiv

Real-time object detectors achieve remarkable accuracy under controlled conditions, yet degrade sharply on non-ideal inputs-fisheye distortion, game-rendered content, aerial views, and 360°panoramas. We present YOLOv14, …

Unsupervised Domain Adaptation Real-Time Object Detection

Towards Practical Algorithm Selection for Unsupervised Domain Adaptation in Medical Imaging

2026-07-30 · Yiheng Xiong, Luisa Gallée, Daniel Santak Wolf, Heiko Hillenhagen 외 arxiv

Numerous unsupervised domain adaptation (UDA) algorithms exist, but for clinical practice, selecting the best-suited one along with proper hyperparameters often remains unclear, as the unlabeled deployment (target) domai…

Unsupervised Domain Adaptation

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