1 code implementation • 28 Mar 2023 • Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Gustavo A. Vargas Hakim, David Osowiechi, Ismail Ben Ayed, Christian Desrosiers
This paper presents a first Token-level Feature Stylization (TFS-ViT) approach for domain generalization, which improves the performance of ViTs to unseen data by synthesizing new domains.
1 code implementation • 20 Oct 2022 • David Osowiechi, Gustavo A. Vargas Hakim, Mehrdad Noori, Milad Cheraghalikhani, Ismail Ben Ayed, Christian Desrosiers
A major problem of deep neural networks for image classification is their vulnerability to domain changes at test-time.
no code implementations • 4 Apr 2020 • Mehrdad Noori, Ali Bahri, Karim Mohammadi
Most of the existing methods, especially UNet-based networks, integrate low-level and high-level features in a naive way, which may result in confusion for the model.
1 code implementation • 3 Apr 2020 • Mehrdad Noori, Sina Mohammadi, Sina Ghofrani Majelan, Ali Bahri, Mohammad Havaei
To address the second challenge, we propose an Attention-based Multi-level Integrator Module to give the model the ability to assign different weights to multi-level feature maps.
3 code implementations • 29 Nov 2019 • Sina Mohammadi, Mehrdad Noori, Ali Bahri, Sina Ghofrani Majelan, Mohammad Havaei
Beneficial from Fully Convolutional Neural Networks (FCNs), saliency detection methods have achieved promising results.