Search Results for author: Sina Mohammadi

Found 5 papers, 3 papers with code

FHIST: A Benchmark for Few-shot Classification of Histological Images

no code implementations31 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.

Classification Few-Shot Learning +1

DFNet: Discriminative feature extraction and integration network for salient object detection

1 code implementation3 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.

object-detection RGB Salient Object Detection +2

Ensembles of Deep Neural Networks for Action Recognition in Still Images

no code implementations22 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.

Action Classification Action Recognition In Still Images +3

CAGNet: Content-Aware Guidance for Salient Object Detection

3 code implementations29 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.

Object object-detection +3

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