Web: http://arxiv.org/abs/2209.10074

Sept. 22, 2022, 1:14 a.m. | Wenhao Tang, Sheng Huang, Xiaoxian Zhang, Luwen Huangfu

cs.CV updates on arXiv.org arxiv.org

Automatic pavement distress classification facilitates improving the
efficiency of pavement maintenance and reducing the cost of labor and
resources. A recently influential branch of this task divides the pavement
image into patches and addresses these issues from the perspective of
multi-instance learning. However, these methods neglect the correlation between
patches and suffer from a low efficiency in the model optimization and
inference. Meanwhile, Swin Transformer is able to address both of these issues
with its unique strengths. Built upon Swin …

arxiv classification transformer vision

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

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

Tech Business Data Analyst

@ Fivesky | Alpharetta, GA

Senior Applied Scientist

@ Amazon.com | London, England, GBR

AI Researcher (Junior/Mid-level)

@ Charles River Analytics Inc. | Cambridge, MA

Data Engineer - Machine Learning & AI

@ Calabrio | Minneapolis, Minnesota, United States