Backbones-review: Feature extraction networks for deep learning and deep reinforcement learning approaches

O Elharrouss, Y Akbari, N Almaadeed… - arXiv preprint arXiv …, 2022 - arxiv.org
To understand the real world using various types of data, Artificial Intelligence (AI) is the
most used technique nowadays. While finding the pattern within the analyzed data …

Panoptic segmentation: A review

O Elharrouss, S Al-Maadeed, N Subramanian… - arXiv preprint arXiv …, 2021 - arxiv.org
Image segmentation for video analysis plays an essential role in different research fields
such as smart city, healthcare, computer vision and geoscience, and remote sensing …

The border k-means clustering algorithm for one dimensional data

R Froese, JW Klassen, CK Leung… - … Conference on Big …, 2022 - ieeexplore.ieee.org
Clustering has been widely used for data pre-processing, mining, and analysis. The k-
means clustering algorithm is commonly used because of its simplicity and flexibility to work …

Backbones-review: Feature extractor networks for deep learning and deep reinforcement learning approaches in computer vision

O Elharrouss, Y Akbari, N Almadeed… - Computer Science …, 2024 - Elsevier
To understand the real world using various types of data, Artificial Intelligence (AI) is the
most used technique nowadays. While finding the pattern within the analyzed data …

基于深度学习的图像全景分割综述.

毕阳阳, 郑远帆, 史彩娟, 张昆… - Journal of Frontiers of …, 2023 - search.ebscohost.com
随着深度学习与图像分割的不断发展, 图像全景分割已经成为计算机视觉领域的一个研究热点,
许多图像全景分割方法被提出. 综述了基于深度学习的图像全景分割研究方法 …

Vision-Based System for Measuring the Diameter of Wood Logs

M Carratù, V Gallo, C Liguori… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Detecting and measuring objects with vision-based systems in uncontrolled environments is
a difficult task that today, thanks to the development of increasingly advanced artificial …