Yolov1 to v8: Unveiling each variant–a comprehensive review of yolo
M Hussain - IEEE Access, 2024 - ieeexplore.ieee.org
This paper implements a systematic methodological approach to review the evolution of
YOLO variants. Each variant is dissected by examining its internal architectural composition …
YOLO variants. Each variant is dissected by examining its internal architectural composition …
A review of embedded machine learning based on hardware, application, and sensing scheme
Machine learning is an expanding field with an ever-increasing role in everyday life, with its
utility in the industrial, agricultural, and medical sectors being undeniable. Recently, this …
utility in the industrial, agricultural, and medical sectors being undeniable. Recently, this …
Cooperative multi-camera vehicle tracking and traffic surveillance with edge artificial intelligence and representation learning
Traffic surveillance cameras are the eyes of the Intelligent Transportation Systems (ITS).
However, they are currently isolated and can only extract information from each of their fixed …
However, they are currently isolated and can only extract information from each of their fixed …
Vehicle detection from aerial images using deep learning: A comparative study
This paper addresses the problem of car detection from aerial images using Convolutional
Neural Networks (CNNs). This problem presents additional challenges as compared to car …
Neural Networks (CNNs). This problem presents additional challenges as compared to car …
A multi-stage deep-learning-based vehicle and license plate recognition system with real-time edge inference
Video streaming-based real-time vehicle identification and license plate recognition systems
are challenging to design and deploy in terms of real-time processing on edge, dealing with …
are challenging to design and deploy in terms of real-time processing on edge, dealing with …
Aerial images processing for car detection using convolutional neural networks: Comparison between faster r-cnn and yolov3
In this paper, we address the problem of car detection from aerial images using
Convolutional Neural Networks (CNN). This problem presents additional challenges as …
Convolutional Neural Networks (CNN). This problem presents additional challenges as …
AERO: AI-enabled remote sensing observation with onboard edge computing in UAVs
Unmanned aerial vehicles (UAVs) equipped with computer vision capabilities have been
widely utilized in several remote sensing applications, such as precision agriculture …
widely utilized in several remote sensing applications, such as precision agriculture …
An ultralightweight object detection network for empty-dish recycling robots
The emergence of empty-dish recycling robots has alleviated problems, such as labor
shortages, caused by an aging population. The detection and grasping of dishes play a …
shortages, caused by an aging population. The detection and grasping of dishes play a …
Federated learning and proactive computation reuse at the edge of smart homes
Edge-based technologies have emerged as a key enabler to empower low-latency services
and incorporate machine learning techniques for learning/inference. However, transferring …
and incorporate machine learning techniques for learning/inference. However, transferring …
State of art IoT and Edge embedded systems for real-time machine vision applications
IoT and edge devices dedicated to run machine vision algorithms are usually few years
lagging currently available state-of-the-art technologies for hardware accelerators. This is …
lagging currently available state-of-the-art technologies for hardware accelerators. This is …