124 citations · 167 across the 3 of their papers we have counts for
4 papers
TTTFlow: Unsupervised Test-Time Training with Normalizing Flow
David Osowiechi, Gustavo A. Vargas Hakim, Mehrdad Noori +3
A major problem of deep neural networks for image classification is their vulnerability to domain changes at test-time. Recent methods have proposed to address this problem with te…
Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation
Mehrdad Noori, Ali Bahri, Karim Mohammadi
Gliomas are the most common and aggressive among brain tumors, which cause a short life expectancy in their highest grade. Therefore, treatment assessment is a key stage to enhance…
DFNet: Discriminative feature extraction and integration network for salient object detection
Mehrdad Noori, Sina Mohammadi, Sina Ghofrani Majelan +2
Despite the powerful feature extraction capability of Convolutional Neural Networks, there are still some challenges in saliency detection. In this paper, we focus on two aspects o…
CAGNet: Content-Aware Guidance for Salient Object Detection
Sina Mohammadi, Mehrdad Noori, Ali Bahri +2
Beneficial from Fully Convolutional Neural Networks (FCNs), saliency detection methods have achieved promising results. However, it is still challenging to learn effective features…