Web: http://arxiv.org/abs/2206.08655

June 20, 2022, 1:13 a.m. | Hanzhe Hu, Yinbo Chen, Jiarui Xu, Shubhankar Borse, Hong Cai, Fatih Porikli, Xiaolong Wang

cs.CV updates on arXiv.org arxiv.org

Integrating high-level context information with low-level details is of
central importance in semantic segmentation. Towards this end, most existing
segmentation models apply bilinear up-sampling and convolutions to feature maps
of different scales, and then align them at the same resolution. However,
bilinear up-sampling blurs the precise information learned in these feature
maps and convolutions incur extra computation costs. To address these issues,
we propose the Implicit Feature Alignment function (IFA). Our method is
inspired by the rapidly expanding topic of …

arxiv cv feature function learning segmentation semantic

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

Machine Learning Researcher - Saalfeld Lab

@ Howard Hughes Medical Institute - Chevy Chase, MD | Ashburn, Virginia

Project Director, Machine Learning in US Health

@ ideas42.org | Remote, US

Data Science Intern

@ NannyML | Remote

Machine Learning Engineer NLP/Speech

@ Play.ht | Remote

Research Scientist, 3D Reconstruction

@ Yembo | Remote, US

Clinical Assistant or Associate Professor of Management Science and Systems

@ University at Buffalo | Buffalo, NY