Cross-Domain Generalization

Follow this topic Ask about this topic

Momentum

18 papers in the last four weeks, up 29% on the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 126

All topics

UniFlow: Zero-Shot LiDAR Scene Flow for Autonomous Vehicles
Nov 23, 2025Siyi Li, Qingwen Zhang, Ishan Khatri +4Point Cloud Learning Autonomous Driving Perception
University of Pennsylvania · KTH Royal Institute of Technology · StackAV +1
Generative Classifier for Domain Generalization
Apr 3, 2025Shaocong Long, Qianyu Zhou, Dexuan Zhang +1Domain Generalization Cross-Domain Generalization
Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China · College of Computer Science and Technology and the Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun, China
Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration
Jul 18, 2024Abhijeet Parida, Antonia Alomar, Zhifan Jiang +7Image Enhancement Test-Time Adaptation
Children’s National Hospital, Washington, DC, USA · Universitat Pompeu Fabra, Barcelona, Spain · Universidad Polit´ecnica de Madrid, Madrid, Spain +2
XOV-Action: Towards Generalizable Open-Vocabulary Action Recognition
Mar 3, 2024Kun-Yu Lin, Henghui Ding, Jia-Run Du +6Open-Set Recognition Cross-Domain Generalization
School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510275, China · Institute of Big Data, Fudan University, Shanghai 200433, China · AI Thrust, Hong Kong University of Science and Technology (Guangzhou), Guangzhou 511400, China +1
Cross-Cluster Weighted Forests
May 17, 2021Maya Ramchandran, Rajarshi Mukherjee, Giovanni ParmigianiCancer Genomics Ensemble Learning
Department of Biostatistics, Harvard T.H. Chan School of Public Health · Department of Data Science, Dana-Farber Cancer Institute
TestDG: Test-time Domain Generalization for Continual Test-time Adaptation
Date pendingSohyun Lee, Nayeong Kim, Juwon Kang +2Continual Test-Time Adaptation Cross-Domain Generalization
POSTECH · GenGenAI · KAIST AI

Nov 23, 2025, cs.CVJ/K move · Enter open · S save

UniFlow: Zero-Shot LiDAR Scene Flow for Autonomous Vehicles

Siyi Li, Qingwen Zhang, Ishan Khatri, Kyle Vedder+3

University of Pennsylvania · KTH Royal Institute of Technology · StackAV+1

Point Cloud Learning Autonomous Driving Perception Cross-Domain Generalization 3D Scene Understanding

Open paper AskPDF arXiv

LiDAR scene flow is the task of estimating per-point 3D motion between consecutive point clouds. Recent methods achieve centimeter-level accuracy on popular autonomous vehicle (AV) datasets, but are typically only trained and evaluated on a single sensor. In this paper, we aim to learn general motion priors that transfer to diverse and unseen LiDAR sensors. However, prior work in LiDAR semantic segmentation and 3D object detection demonstrate that naively training on multiple datasets yields worse performance than single dataset models. Interestingly, we find that this conventional wisdom does not hold for motion estimation, and that state-of-the-art scene flow methods greatly benefit from cross-dataset training without architectural modification. We posit that low-level tasks such as motion estimation may be less sensitive to sensor configuration; indeed, our analysis shows that models trained on fast-moving objects (e.g., from highway datasets) perform well on fast-moving objects, even across different datasets. Informed by our analysis, we propose UniFlow, a feedforward model that unifies and trains on multiple large-scale LiDAR scene flow datasets with diverse sensor placements and point cloud densities. Our frustratingly simple solution establishes a new state-of-the-art on Waymo and nuScenes, improving over prior work by 5.1% and 35.2% respectively. Moreover, UniFlow achieves state-of-the-art accuracy on unseen datasets like TruckScenes and AEVAScenes, outperforming prior dataset-specific models by 30.1% and 22.5% respectively.

Momentum

Related topics

Latest papers 126

UniFlow: Zero-Shot LiDAR Scene Flow for Autonomous Vehicles

Generative Classifier for Domain Generalization

Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration

XOV-Action: Towards Generalizable Open-Vocabulary Action Recognition

Cross-Cluster Weighted Forests

TestDG: Test-time Domain Generalization for Continual Test-time Adaptation