How Do ConvNets Understand Image Intensity?
Computer Vision and Pattern Recognition
2023-07-25 v2 Machine Learning
Abstract
Convolutional Neural Networks (ConvNets) usually rely on edge/shape information to classify images. Visualization methods developed over the last decade confirm that ConvNets rely on edge information. We investigate situations where the ConvNet needs to rely on image intensity in addition to shape. We show that the ConvNet relies on image intensity information using visualization.
Cite
@article{arxiv.2306.00360,
title = {How Do ConvNets Understand Image Intensity?},
author = {Jackson Kaunismaa and Michael Guerzhoy},
journal= {arXiv preprint arXiv:2306.00360},
year = {2023}
}