Web: http://arxiv.org/abs/2209.07761

Sept. 21, 2022, 1:13 a.m. | Jinlong Li, Zequn Jie, Xu Wang, Xiaolin Wei, Lin Ma

cs.CV updates on arXiv.org arxiv.org

Generating precise class-aware pseudo ground-truths, a.k.a, class activation
maps (CAMs), is essential for weakly-supervised semantic segmentation. The
original CAM method usually produces incomplete and inaccurate localization
maps. To tackle with this issue, this paper proposes an Expansion and Shrinkage
scheme based on the offset learning in the deformable convolution, to
sequentially improve the recall and precision of the located object in the two
respective stages. In the Expansion stage, an offset learning branch in a
deformable convolution layer, referred as …

arxiv localization segmentation semantic shrinkage weakly-supervised

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