135 citations · 226 across the 5 of their papers we have counts for
5 papers
FHIST: A Benchmark for Few-shot Classification of Histological Images
Fereshteh Shakeri, Malik Boudiaf, Sina Mohammadi +4
Few-shot learning has recently attracted wide interest in image classification, but almost all the current public benchmarks are focused on natural images. The few-shot paradigm is…
3D Fully Convolutional Neural Networks with Intersection Over Union Loss for Crop Mapping from Multi-Temporal Satellite Images
Sina Mohammadi, Mariana Belgiu, Alfred Stein
Information on cultivated crops is relevant for a large number of food security studies. Different scientific efforts are dedicated to generating this information from remote sensi…
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…
Ensembles of Deep Neural Networks for Action Recognition in Still Images
Sina Mohammadi, Sina Ghofrani Majelan, Shahriar B. Shokouhi
Despite the fact that notable improvements have been made recently in the field of feature extraction and classification, human action recognition is still challenging, especially…
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…