Theory
Computer Vision
Convolution Can Incur Foveation Effects
May 7, 2021
Abstract
This exhibit demonstrates how boundary treatment in convolutional networks can incur foveation effects: Impacted pixels have fewer ways to contribute to the computation than central pixels. Different padding mechanisms can either eliminate or aggravate these effects, which is made obvious by an interactive visualization.
AUTHORS
Written by
Jun Yuan
Bilal Alsallakh
Narine Kokhlikyan
Vivek Miglani
Orion Rebliz-Richardson
Publisher
ICLR 2021
Research Topics
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