Coordinate Attention UNet

Quoc An Dang; Duc Dung Nguyen

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Paper

Coordinate Attention UNet

Topics: Image Segmentation and Reconstruction

In Proceedings of the 2nd International Conference on Robotics, Computer Vision and Intelligent Systems ROBOVIS - Volume 1, 122-127, 2021

Authors: Quoc An Dang and Duc Dung Nguyen

Affiliation: Computer Science and Engineering Faculty, Ho Chi Minh City University of Technology, Vietnam

Keyword(s): Brain Tumor Segmentation, Instant Segmentation, Channel Attention, Coordinate Attention.

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.

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Paper citation in several formats:

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

@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 - ROBOVIS},
year={2021},
pages={122-127},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010657700003061},
isbn={978-989-758-537-1},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Robotics, Computer Vision and Intelligent Systems - 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
PB - SciTePress