Coordinate Attention UNet

Quoc An Dang, Duc Dung Nguyen

2021

Abstract

In this paper, we propose an alternative architecture based on the UNet, which utilized the attention module. Our model solved the context loss and feature dilution caused by sampling operation of the UNet model using the enhancement ability of the attention. Further more, we applied one of the latest attention module named Coordinate Attention module to our model and proposed modification of this module to improve the effective of this module for Magnetic Resonance Imaging (MRI) scans.

Paper Citation

in Harvard Style

Dang Q. and Nguyen D. (2021). Coordinate Attention UNet. In Proceedings of the 2nd International Conference on Robotics, Computer Vision and Intelligent Systems - Volume 1: ROBOVIS, ISBN 978-989-758-537-1, pages 122-127. DOI: 10.5220/0010657700003061

in Bibtex Style

@conference{robovis21,
author={Quoc An Dang and Duc Dung Nguyen},
title={Coordinate Attention UNet},
booktitle={Proceedings of the 2nd International Conference on Robotics, Computer Vision and Intelligent Systems - Volume 1: ROBOVIS,},
year={2021},
pages={122-127},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010657700003061},
isbn={978-989-758-537-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Robotics, Computer Vision and Intelligent Systems - Volume 1: ROBOVIS,
TI - Coordinate Attention UNet
SN - 978-989-758-537-1
AU - Dang Q.
AU - Nguyen D.
PY - 2021
SP - 122
EP - 127
DO - 10.5220/0010657700003061