no code implementations • 11 Nov 2023 • Ali Farzipour, Omid Nejati Manzari, Shahriar B. Shokouhi
The experimental evaluations demonstrate that the hybrid network with the locality module outperforms pure transformer-based models and some of the best convolutional networks in accuracy.
no code implementations • 2 Nov 2023 • Hamid Ahmadabadi, Omid Nejati Manzari, Ahmad Ayatollahi
The teacher model extracts local image features, whereas the student model focuses on global features using an attention mechanism.
1 code implementation • 22 Apr 2023 • Davoud Saadati, Omid Nejati Manzari, Sattar Mirzakuchaki
Medical image segmentation is crucial for the development of computer-aided diagnostic and therapeutic systems, but still faces numerous difficulties.
1 code implementation • 19 Feb 2023 • Omid Nejati Manzari, Hamid Ahmadabadi, Hossein Kashiani, Shahriar B. Shokouhi, Ahmad Ayatollahi
Convolutional Neural Networks (CNNs) have advanced existing medical systems for automatic disease diagnosis.
1 code implementation • 27 Jan 2023 • Omid Nejati Manzari, Hossein Kashiani, Hojat Asgarian Dehkordi, Shahriar Baradaran Shokouhi
In this paper, we explore the robustness of vision transformers against adversarial perturbations and try to enhance their robustness/accuracy trade-off in white box attack settings.
no code implementations • 13 Jul 2022 • Omid Nejati Manzari, Amin Boudesh, Shahriar B. Shokouhi
The results demonstrate the superiority of the proposed model in the traffic sign detection tasks.