Web: http://arxiv.org/abs/2209.08253

Sept. 20, 2022, 1:12 a.m. | Jianxin Lin, Yongqiang Tang, Junping Wang, Wensheng Zhang

cs.CV updates on arXiv.org arxiv.org

Domain generalization (DG) aims to learn a model on several source domains,
hoping that the model can generalize well to unseen target domains. The
distribution shift between domains contains the covariate shift and conditional
shift, both of which the model must be able to handle for better
generalizability. In this paper, a novel DG method is proposed to deal with the
distribution shift via Visual Alignment and Uncertainty-guided belief Ensemble
(VAUE). Specifically, for the covariate shift, a visual alignment module …

arxiv shift

More from arxiv.org / cs.CV updates on arXiv.org

Postdoctoral Fellow: ML for autonomous materials discovery

@ Lawrence Berkeley National Lab | Berkeley, CA

Research Scientists

@ ODU Research Foundation | Norfolk, Virginia

Embedded Systems Engineer (Robotics)

@ Neo Cybernetica | Bedford, New Hampshire

2023 Luis J. Alvarez and Admiral Grace M. Hopper Postdoc Fellowship in Computing Sciences

@ Lawrence Berkeley National Lab | San Francisco, CA

Senior Manager Data Scientist

@ NAV | Remote, US

Senior AI Research Scientist

@ Earth Species Project | Remote anywhere

Research Fellow- Center for Security and Emerging Technology (Multiple Opportunities)

@ University of California Davis | Washington, DC

Staff Fellow - Data Scientist

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Staff Fellow - Senior Data Engineer

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Research Engineer - VFX, Neural Compositing

@ Flawless | Los Angeles, California, United States

[Job-TB] Senior Data Engineer

@ CI&T | Brazil

Data Analytics Engineer

@ The Fork | Paris, France