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.
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.
1 code implementation • 15 Feb 2021 • Sina Mohammadi, Mariana Belgiu, Alfred Stein
We conclude that using the IOU loss function provides a superior choice to learn individual crop types.
no code implementations • 22 Mar 2020 • Sina Mohammadi, Sina Ghofrani Majelan, Shahriar B. Shokouhi
A big challenge in action recognition in still images is the lack of large enough datasets, which is problematic for training deep Convolutional Neural Networks (CNNs) due to the overfitting issue.
no code implementations • 31 May 2022 • Fereshteh Shakeri, Malik Boudiaf, Sina Mohammadi, Ivaxi Sheth, Mohammad Havaei, Ismail Ben Ayed, Samira Ebrahimi Kahou
We build few-shot tasks and base-training data with various tissue types, different levels of domain shifts stemming from various cancer sites, and different class-granularity levels, thereby reflecting realistic scenarios.