XRANet: an extra-wide, residual and attention-based deep convolutional neural network for semantic segmentation

Roger Booto Tokime; Moulay A. Akhloufi

doi:10.1117/12.2692337

28 July 2023 XRANet: an extra-wide, residual and attention-based deep convolutional neural network for semantic segmentation

Roger Booto Tokime, Moulay A. Akhloufi

Author Affiliations +

Proceedings Volume 12749, Sixteenth International Conference on Quality Control by Artificial Vision; 127490S (2023) https://doi.org/10.1117/12.2692337
Event: Sixteenth International Conference on Quality Control by Artificial Vision, 2023, Albi, France

Abstract

In this paper, we propose XRANet, a Deep Convolutional Neural Network (DNN) architecture for Semantic Segmentation. The recent advancements in deep learning and convolutional neural networks have greatly improved the accuracy of segmentation tasks. XRANet builds on the widely used U-Net architecture and adds several improvements to increase performance. The eXtra-wide mechanism in the encoder, combined with residual connections and an attention mechanism in both the encoder and decoder, enhances feature extraction and reduces the activation of pixels outside the regions of interest. The proposed architecture was evaluated on various public datasets, and the results were measured using the dice coefficient metric, obtaining promising quantitavive and qualitative results.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Roger Booto Tokime and Moulay A. Akhloufi "XRANet: an extra-wide, residual and attention-based deep convolutional neural network for semantic segmentation", Proc. SPIE 12749, Sixteenth International Conference on Quality Control by Artificial Vision, 127490S (28 July 2023); https://doi.org/10.1117/12.2692337

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image segmentation

Semantics

Data modeling

Feature extraction

Object detection

Deep learning

Convolution

Show All Keywords

Keywords/Phrases

Search In:

Publication Years